Data Science Jobs

Category: Technology Location: Develop and implement data science models to enhance learning, assessment, and training platforms. Conduct data analysis, statistical analysis, and predictive modeling to identify trends and patterns in educational data. Develop machine learning models including logistic regression, random forest, and clustering algorithms tailored for educational purposes. Use psychometric methods like Item Response Theory and Rasch Models to improve assessment data quality. Create data visualizations and dashboards using Power BI and Tableau for educational stakeholders. Work with cross-functional teams, including educators and researchers, to understand requirements and deliver insights. Optimize ETL processes for data integration and preprocessing specific to educational datasets. Support the development of adaptive learning systems and personalized learning experiences through data-driven approaches. Implement and utilize Graph API and OData endpoints to integrate and analyze data from various sources. Work with large language models (LLMs) and retrieval-augmented generation (RAG) techniques to enhance educational tools and provide personalized learning experiences. Leverage vector databases to store and retrieve high-dimensional data efficiently. Requirements Bachelor's degree in Business Administration (Big Data Analytics), Economics, Statistics, or a related field. 3-5 years of experience in data science, with a strong focus on predictive analytics and machine learning. Proficiency in Python, SQL, SAS, and advanced Excel. Experience with BI tools like Power BI and Tableau. Strong understanding of psychometric models and advanced statistical methods. Proven experience in implementing Graph API and working with OData endpoints. Experience with large language models (LLMs), retrieval-augmented generation (RAG), and vector databases. Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders. Proven track record of improving educational outcomes through data-driven strategies. Strong background in statistical analysis, including exploratory data analysis and inferential statistics. Preferences: Certification in Power BI or similar BI tools. Experience in educational data analysis and resource allocation optimization. Knowledge of NLP techniques and sentiment analysis is a plus. Strong analytical skills and attention to detail. Ability to work in a collaborative team environment and manage multiple projects simultaneously. Details Originally posted on Himalayas

Data Science Engineer

Tata Consultancy Services

San Antonio, TX

Job Title- Data Science Engineering Location- San Anotio, TX , Raleigh, NC, Phoenix, AZ , Irvine, CA Salary Range- 70k to 80k We are hiring Entry-Level Data Science Engineers with a Bachelor's or Master's degree in Data Science, Artificial Intelligence, or related fields. This program is designed to develop future-ready talent for BFSI analytics engagements. Participants will receive structured training and mentorship through our Lab/Data Centers of Excellence (CoEs) while contributing to BFSI client projects. Responsibilities: Participate in intensive training on data science, AI/ML, and BFSI domain fundamentals. Work on real-world BFSI analytics projects, supporting data engineering, modeling, and insights generation. Collaborate with Data CoEs and project teams for solution development and delivery. Apply advanced analytics techniques to solve business problems in banking, financial services, and insurance. Document processes, models, and outcomes for knowledge sharing. Qualifications and Specialization: Bachelor's or Master's degree in Data Science, Artificial Intelligence, or related fields. Unique Experience from this Role: Structured training and mentorship by industry experts. Hands-on experience in BFSI analytics projects. Opportunity to work with global clients and cutting-edge technologies. Career progression within the BFSI A&I practice. Learning Outcomes: Develop strong foundations in data science, AI/ML, and BFSI analytics. Gain hands-on experience working on real-world BFSI analytics projects. Collaborate with industry experts and cross-functional project teams. Build expertise in applying advanced analytics techniques to solve business challenges. Gain exposure to global clients and cutting-edge technologies. Enhance professional growth and career development opportunities within the BFSI A&I practice.

Data Science Analyst

OneMain Financial

Wilmington, DE

Job Description Data Science Analyst Locations: Wilmington, DE; Charlotte, NC (Hybrid) As an Data Science Analyst, you’ll develop the technical skills to build the machine learning systems that drive our company and produce great customer outcomes. You’ll get hands-on experience as you apply your talents, creativity, and passion to create innovative solutions to real-world data science use cases. No matter the projects, you’ll have the opportunity to explore, while learning from experts in consumer lending in a close-knit team-oriented environment. This role will provide exposure across multiple disciplines to accelerate your career growth. In the Role: Apply diverse statistical and machine learning techniques to analyze a variety of datasets to solve complex, unstructured business problems. Actively contribute to our team’s vibrant culture through sharing knowledge, helping peers, and generally being a great person to work with. Develop creative technical solutions to improve the company’s decision making, the customer’s experience, and shareholder returns. Evaluate non-traditional data sources to see if they result in better underwriting decisions, saving our hard-working customers millions in interest payments. Mine the “digital exhaust” of our marketing campaigns to identify new populations who would benefit from our products. Partner with our operations teams to surface data insights that will allow our thousands of branch staff to better serve our customers. Requirements: Current post-graduate degree student in a quantitative discipline (Engineering, Data Science, Statistics, Biostatistics, Physics, Economics, Operations Research, or Computer Science) with an expected graduation date of Winter 2026 or Spring 2027. Outstanding communication skills, including the ability to explain technical topics and concepts to a non-technical audience. Proven experience (in an academic, athletic, volunteer, or employment context) working with teams of diverse individuals to deliver complex projects. Experience in use of open-source machine learning libraries (Python or R). Innovative and capable of developing creative solutions to complex, data-driven problems. Preferred: Successful candidates will possess strong analytic, strategic thinking, communications, and leadership skills. They will also demonstrate curiosity, creative problem solving, integrative business thinking, teamwork, and bias for action. Just as importantly, they will be enthusiastic learners who want to tackle real-world challenges. About You: You are ready to launch your data science career. You want to create solutions to help hard-working Americans improve their financial lives. You want to work on a modern cloud-based data infrastructure. You want to directly learn from some of the best data science and business leaders in consumer finance. You want to be part of a team which is nimble, collaborative, diverse, and fun. Who we Are: OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we’ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future. Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we’re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There’s never been a better time to shine with OneMain. Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That’s why we’ve packed our comprehensive benefits package for full- and some part-time employees with: Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances Up to 4% matching 401(k) Employee Stock Purchase Plan (10% share discount) Tuition reimbursement Paid time off (15 days vacation per year) Paid sick leave as determined by state or local ordinance, prorated based on start date Paid holidays (11 days per year, based on start date) Paid volunteer time (3 days per year, prorated based on start date) Most Loved Workplace 2022, 2023, 2024, and 2025

Data Science Intern

Itron

Liberty Lake, WA

Itron is innovating new ways for utilities and cities to manage energy and water. We create a more resourceful world to protect essential resources for today and tomorrow. Join us. The Distributed Intelligence Data Science team is seeking a motivated and curious 2027 Summer Data Science Intern to help advance innovation in the Utilities & Energy sector. Distributed Intelligence helps utilities achieve greater distribution system visibility by combining granular grid-edge data with an open enterprise application platform. In this role, you will collaborate with experienced data scientists, software engineers, and business stakeholders to support solutions that improve grid optimization, asset management, distributed energy resource (DER) integration, and customer engagement. We welcome candidates from diverse backgrounds who are excited to learn, contribute, and grow in a collaborative, customer-centric environment. Internship Details Duration: 40 hours per week for 10 weeks during Summer 2027 Target Start Date: May/June 2027 End Date: August/September 2027, depending on academic schedule Location: Liberty Lake, Washington Duties & Responsibilities: Support the development, maintenance, and enhancement of data and machine learning pipelines used in production environments. Assist with the implementation and maintenance of cloud-based infrastructure while demonstrating accountability and attention to quality. Clean, prepare, and validate moderate- to large-scale datasets (tens to hundreds of gigabytes) for analysis, model development, and operational use. Partner with senior team members and subject matter experts to conduct exploratory data analysis (EDA) and communicate insights clearly to technical and non-technical audiences. Contribute to research, testing, and improvement of machine learning models under the guidance of experienced data scientists. Collaborate effectively with data scientists, software engineers, product managers, and other stakeholders to deliver innovative and customer-focused solutions. Demonstrate an agile mindset by adapting to evolving priorities, incorporating feedback, and continuously improving work outputs. Uphold authentic and inclusive collaboration practices that value diverse perspectives and ideas. Support projects that help utilities improve operational efficiency, reliability, and customer outcomes. Required Skills & Experience: Currently enrolled in an accredited bachelor's degree program in a related field such as Statistics, Data Science, Applied Mathematics, Computer Science, Software Engineering, or a similar discipline. Completion of at least two years of college coursework by the internship start date. Experience using AI agent-driven tools to support software development, testing, code review, or related technical activities. Intermediate proficiency in Python and SQL. Knowledge of statistical methods, data analysis techniques, and data-driven problem solving. Exposure to machine learning through academic coursework, independent projects, research, internships, or professional experience. Strong written and verbal communication skills with the ability to share ideas clearly and respectfully. Demonstrated ability to work collaboratively in team environments while maintaining accountability for assigned work. Interest in developing innovative solutions that address customer and business needs within the Utilities & Energy industry. Preferred Skills & Experience: Previous internship, research, or professional experience related to data science, analytics, software engineering, or machine learning. Experience using AI agent-supported tools for interactive data analysis and technical problem solving. Familiarity with cloud platforms such as AWS or Microsoft Azure. Experience with version control systems such as GitHub. Enrollment in a master's degree program in a STEM-related discipline, including Statistics, Data Science, Software Engineering, Computer Science, Applied Mathematics, or a similar field. Experience working on collaborative technical projects involving cross-functional teams. Interest in electric utility operations, grid modernization, distributed energy resources, or related energy technologies. Physical Demands: This is a typical office-based position with no unusual physical requirements. The role is associated with the Liberty Lake, Washington location. Benefits Info: This position also includes a competitive benefit package including; financial, social, health and wellbeing programs, paid vacation, 401k matching, employee stock purchase program, hybrid work schedule, and more! The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills and experience and may vary by location. Liberty Lake, WA: $15.87 - $44.23 per hour #LI-JH1 Itron is committed to building an inclusive and diverse workforce and providing an authentic workplace experience for all employees. If you are excited about this role but your past experiences don't perfectly align with every requirement, we encourage you to apply anyway. In the end, you may be just who we are looking for! The successful candidate's starting wage will be determined based on permissible, non-discriminatory factors such as skills and experience. Itron is proud to be an Equal Opportunity Employer. If you require an accommodation to apply, please contact a recruiting representative at 1-800-635-5461 or email Accessibility@itron.com . Itron is transforming how the world manages energy, water and city services. Our trusted intelligent infrastructure solutions help utilities and cities improve efficiency, build resilience and deliver safe, reliable and affordable service. With edge intelligence, we connect people, data insights and devices so communities can better manage the essential resources they rely on to live. Join us as we create a more resourceful world: www.itron.com

Data Science Intern

LexisNexis Risk Solutions

Alpharetta, Georgia

Are you interested in using data, analytics, and emerging technologies to solve real-world problems? Would you like to gain hands-on experience supporting innovative solutions that help inform decision-making across the insurance industry? About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry-specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle, all while reducing risk. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/insurance . About our Team Our team leverages data, analytics, and emerging technologies to develop innovative solutions that help customers make informed decisions, improve risk assessment, and drive business value across the insurance and automotive industries. Working with a wide range of data sources, including vehicle, ownership, telematics, mobility, tabular, time series, aerial imagery, and video data, we uncover insights, develop analytical products, and apply a range of techniques, including machine learning, deep learning, computer vision, and generative AI, to solve real-world challenges. We partner closely with Product, Data Acquisition, Analytics, and business stakeholders to evaluate data sources, develop customer-focused solutions, and deliver actionable insights that support product innovation, operational excellence, and business growth. As part of the team, you'll collaborate with experienced data scientists, analysts, and AI practitioners while gaining hands-on experience with data analytics, visualization, reporting, and AI-enabled solutions that transform data into meaningful outcomes. About the Role As a Data Science Intern, you will contribute to real-world analytics and artificial intelligence projects while developing technical and business skills through hands-on learning and collaboration. You will work with data from a variety of sources, identify trends and insights, support analytical models, create dashboards and visualizations, and communicate findings to technical and non-technical audiences. Depending on business priorities and your interests, projects may involve machine learning, deep learning, generative AI, computer vision, vehicle intelligence, telematics, mobility trends, risk prediction, data quality, business reporting, or other advanced analytics initiatives. You will also gain exposure to how analytical solutions progress from research and experimentation to customer-focused products and production environments. This internship offers an opportunity to work on meaningful projects that apply data science, analytics, and AI to real business challenges. You'll gain hands-on experience, learn from experienced professionals, build valuable technical and business skills, and contribute to solutions that help customers make smarter decisions across the insurance and automotive industries. Program Dates: May 24 – July 30, 2027 Duration: 10 weeks Location: On-site in Alpharetta, GA. Candidates should be able to work on-site for the duration of the internship. Relocation Assistance: Relocation assistance is not available for this internship. Eligibility Requirements: Candidates must be currently enrolled undergraduate students with an expected graduation date of May 2028. Responsibilities Collect, organize, clean, validate, and analyze data from multiple systems and sources. Identify trends, patterns, gaps, and opportunities that support business and product decisions. Assist with analytical experiments and the development, testing, and improvement of data science and machine learning solutions. Contribute to projects involving artificial intelligence, vehicle intelligence, telematics, mobility, imagery, video, risk prediction, or business analytics. Evaluate data sources for quality, coverage, usability, relevant attributes, and potential business applications. Develop reports, dashboards, visualizations, and presentations that clearly communicate findings and recommendations. Support the documentation, validation, deployment, and continuous improvement of analytical solutions. Collaborate with data scientists, analysts, product teams, and business stakeholders on customer-focused and continuous improvement initiatives. Requirements Be a current student pursuing a bachelor’s degree in Data Science, Data Analytics, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related quantitative field, with an expected graduation date of May 2028. Demonstrate an interest in data science, analytics, machine learning, artificial intelligence, business intelligence, or emerging technologies. Have experience working with data through coursework, academic projects, research, student organizations, personal projects, volunteer experiences, or prior internships. Have familiarity with Python, SQL, or similar tools used for data analysis and problem-solving. Possess foundational knowledge of statistics, data analysis, machine learning, data visualization, or data quality concepts. Demonstrate analytical thinking and problem-solving skills, including the ability to interpret data and develop meaningful insights. Communicate findings clearly through written materials, presentations, visualizations, and data storytelling. Work effectively both independently and collaboratively while learning new technologies and adapting to evolving priorities. Salary $20/hour #earlycareer This position is not eligible for benefits. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

SUMMARY: The Data Science Developer is responsible for understanding the business problems, identifying/applying the right AI or cognitive computing technologies to solve problems, and is involved in the formulation and execution of technology solutions. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES Collect, preprocess, and analyze large datasets to identify patterns and features. Develop and apply machine learning algorithms to improve diagnosis accuracy and reduce false positives. Work with cross-functional teams, including radiologists, medical professionals, and software engineers, to develop and test new algorithms and models. Design and develop software tools and frameworks to automate the processing and analysis of medical images. Implement deep learning architectures for image analysis and classification tasks. Participate in the design and implementation of clinical studies to evaluate the performance of developed algorithms and models. Ensure that developed models and algorithms meet regulatory and quality standards Keep up-to-date with the latest trends and technologies in the field of medical imaging and data science. REQUIRED EDUCATION AND EXPERIENCE 5 years of experience in the development and integration of complex imaging systems and/or medical image diagnosis software Experience in developing with C++ Knowledge of DICOM development and troubleshooting experience Prior experience developing healthcare components (PACS, VNA, RIS) and workflows Experience with C++, C#, Python, machine learning B.S. in Computer Science or related field. An M.S. or PhD is a plus

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS Known is what happens when a data science firm and a creative agency stop arguing and start collaborating. We were built from scratch with PhD data scientists and award-winning creatives working on the same briefs, from day one. That structure earned us an Ad Age #3 A-List ranking, back-to-back Data & Insights Agency of the Year wins, plus Emmys, Cannes Lions, Clios, and Effies across clients in finance, tech, entertainment, consumer goods, and real estate. We're distributed across the U.S. and unapologetically ambitious. If you're tired of choosing between doing smart work and doing creative work, you'll fit right in here. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU Do you thrive at the intersection of data science, innovation, and marketing? Known seeks a Director of Data Science to lead cutting-edge marketing analytics and client engagements. Our Strategy team is at the heart of Known’s mission to bring ground-breaking customer insights, strategic consulting, media planning/buying and creative work to our clients. WHAT YOU’LL DO In this role you will have three main areas of responsibility: Lead client engagements at the intersection of data science, AI and strategy: Take ownership of projects from scoping to delivery. Collaborate with clients and cross-functional teams to solve complex marketing challenges using advanced analytics, modeling approaches, statistics, and measurement & experimentation techniques. Inspire and manage a talented team: Manage, mentor, and grow a high-performing team of analysts and data scientists and advise a larger set of quantitative survey researchers. Foster a culture of innovation, collaboration, and continuous learning, while ensuring your team consistently delivers high-quality work. Drive growth: You’ll also pitch new projects and grow client relationships. Be a thought leader: Stay ahead of trends in marketing analytics, bringing new methodologies, tools, and techniques to both team members and clients. Serve as a trusted advisor, sharing your expertise on experimentation, machine learning, and advanced data science methods. WHO YOU ARE AND WHAT YOU HAVE DONE You’re an expert in data science and statistics with 8+ years of professional experience in quantitative research, marketing, or consulting. You have at least 2 years of experience managing people and teams, inspiring them to do their best work. You enjoy training and developing others. You have superb communication, narrative-building, and presentation skills. You are as comfortable talking to engineers as with C-suite executives. You’re great at presenting and storytelling with data. You can write high-quality Python code and are comfortable with tools like Git and SQL. You understand data pipelines and can bridge the gap between technical execution and strategic business goals. You’re an expert at implementing and explaining machine learning models, including linear and XGBoost regressions. You have a deep grasp of statistics and probability applied to experimentation and other marketing problems. You’re proficient in analyzing both large datasets and smaller survey datasets. You have a POV on the role of AI in these environments. You’re up to date on the latest data science and AI developments and know how to apply them to what we’re trying to do. You’re proficient with data engineering tasks and tools, though your focus is more on modeling than data engineering Bonus points for experience with mid- and upper-funnel marketing strategies, expertise in causal inference, building generative AI applications, or dabbling with synthetic data. SOME OF OUR PERKS Unlimited paid time off 401k with company matching and no vesting period Annual bonuses Generous medical plan Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you’re probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There’s always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $140K - $170K. This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-DNI

Data Science Architect

Mars Technominds Inc

McKinney, TX

Data Science Architect Location: McKinney, TX Duration: 12 24 Months Employment Type: Contract Note: For this role client is looking for only permanent residence Job Summary We are seeking an experienced Data Science Architect to design, architect, and lead the development of scalable data science, machine learning, and AI solutions. The ideal candidate will have strong expertise in Data Science, Machine Learning, Python, SQL, cloud technologies, data architecture, and MLOps, with the ability to translate complex business and technical requirements into enterprise-grade analytical solutions. The Data Science Architect will work closely with data scientists, data engineers, software engineers, cloud architects, and business stakeholders to establish scalable architecture, technical standards, and best practices for advanced analytics and AI/ML initiatives. Key Responsibilities Design and develop end-to-end Data Science, Machine Learning, and AI architectures for enterprise applications. Define scalable and secure architectures for data ingestion, processing, analytics, machine learning, and model deployment. Lead the architecture and implementation of predictive analytics, machine learning, statistical modeling, and advanced analytics solutions. Collaborate with Data Scientists and Data Engineers to develop robust data pipelines and analytical platforms. Design solutions for both structured and unstructured data and large-scale data processing. Develop and implement machine learning models using appropriate algorithms and frameworks. Establish standards and best practices for model development, validation, deployment, monitoring, and lifecycle management. Design and implement MLOps processes and CI/CD pipelines for machine learning workloads. Architect cloud-based data science solutions using AWS, Azure, or Google Cloud Platform (Google Cloud Platform). Work with technologies such as Python, SQL, Spark, Databricks, MLflow, TensorFlow, PyTorch, and Scikit-learn. Evaluate and recommend data science, AI/ML, and cloud technologies based on scalability, performance, security, and cost. Ensure data quality, governance, security, privacy, and compliance requirements are incorporated into solution architecture. Design solutions supporting real-time and batch data processing. Establish architecture patterns for APIs, microservices, model serving, and integration with enterprise applications. Monitor and optimize model performance, scalability, reliability, and resource utilization. Provide technical leadership and mentorship to Data Scientists, ML Engineers, Data Engineers, and development teams. Work with stakeholders to translate business requirements into technical and data-driven solutions. Create architecture diagrams, technical documentation, standards, and solution design specifications. Stay current with emerging technologies in AI, Machine Learning, Generative AI, Data Science, and Cloud Computing. Required Skills & Experience 8+ years of experience in Data Science, Machine Learning, AI, Data Engineering, or related technology disciplines. Strong experience in Data Science Architecture / Machine Learning Architecture / AI Architecture. Advanced programming experience with Python. Strong knowledge of SQL, data modeling, data structures, and algorithms. Strong understanding of machine learning algorithms, statistical modeling, predictive analytics, and data mining. Experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar. Hands-on experience with MLOps, ML lifecycle management, model deployment, monitoring, and CI/CD. Experience designing scalable data pipelines and distributed data processing solutions. Strong experience with Apache Spark / PySpark and/or Databricks. Experience with one or more cloud platforms: AWS, Azure, or Google Cloud Platform. Knowledge of data platforms such as Data Lakes, Data Warehouses, Lakehouse architectures, and distributed databases. Experience with REST APIs, microservices, containers, Docker, and Kubernetes is preferred. Strong understanding of data governance, security, privacy, and enterprise architecture principles. Excellent analytical, problem-solving, communication, and stakeholder management skills. Preferred / Nice-to-Have Skills Experience with Generative AI, Large Language Models (LLMs), RAG, NLP, or AI Agents. Experience with MLflow, Azure Machine Learning, Amazon SageMaker, or equivalent MLOps platforms. Experience with Kafka, Airflow, dbt, or other data engineering/orchestration technologies. Knowledge of Vector Databases, embeddings, semantic search, and AI/ML APIs. Experience with Terraform, Git, Jenkins, GitHub Actions, or Azure DevOps. Experience working in large enterprise or highly regulated environments. Experience leading architecture initiatives and mentoring technical teams. Education Bachelor s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Master s degree is preferred.  

Data Science Intern

SageSure

Jersey City, NJ

Overview: If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we’re hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking an Intern to join the Rising Pioneer Program as part of our Data Science team . Over the course of this 10-week program, interns will gain tangible, hands-on experience and insight into our business operations. After 3 days of orientation and training, you’ll join our Data Science team , where you’ll be assigned projects with unlimited opportunity for challenges and achievement. We have, very often, considered our interns for post-graduation roles within the company. What you’d be doing: Learn and network with employees, leaders, and other interns during an on-the-job experience. Potential to earn college credit. Provide research and analysis support on ad-hoc projects. Fulfill tasks and project assignments set out by team leaders. Receive coaching, mentoring, and feedback from knowledgeable SageSure professionals. Support the development, testing, and evaluation of data science models and analytical solutions. Assist with collecting, cleaning, transforming, and analyzing structured and unstructured data. Explore datasets to identify trends, patterns, relationships, and opportunities that can inform business decisions. Apply statistical and analytical techniques to support business questions and data-driven problem solving. Partner with Data Scientists, Data Engineers, and business stakeholders to understand project objectives and translate business needs into analytical approaches. Assist with model validation, performance evaluation, and documentation of analytical methods and results. Develop visualizations, summaries, and presentations that clearly communicate findings to both technical and non-technical audiences. Support experimentation and testing to evaluate model performance, business impact, or potential improvements. Participate in team meetings, project discussions, and technical reviews. Learn and apply data science best practices related to reproducibility, documentation, testing, and responsible use of data. We’re looking for someone who has: Is currently enrolled in a relevant degree program with a focus on Data Science, Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field , with an anticipated graduation date in 2028 . Has foundational experience working with data through coursework, academic projects, research, or prior work experience. Has experience with Python, R, SQL, or another programming or analytical language . Demonstrates strong analytical, quantitative, problem-solving, and critical-thinking skills. Has a basic understanding of statistics, data analysis, or machine learning concepts. Is comfortable working with data and interpreting analytical results. Has strong written and verbal communication skills and can explain technical concepts in a clear and understandable way. Is detail-oriented, curious, and willing to explore different approaches to solving problems. I s comfortable multitasking and eager to learn new tools, technologies, and analytical techniques. Has the ability to work independently as well as collaboratively as a team member. Is authorized to work in the United States. Highly preferred candidates also have: Prior internship, research, technical project, or relevant professional experience. GPA of 3.0 or higher. Experience using Python for data analysis, modeling, or machine learning. Familiarity with SQL and relational databases. Exposure to machine learning techniques, statistical modeling, or predictive analytics. Experience with data visualization tools or libraries. Familiarity with cloud platforms, Databricks, or other modern data and analytics technologies. Experience presenting analytical findings or recommendations to non-technical audiences. Data and AI at SageSure: At SageSure, data and AI aren’t just functions— they’re engines for innovation. Our Data & AI organization brings together Data Science, Business Intelligence, Data Management, and emerging AI capabilities to power smarter decisions and deliver meaningful impact across the business. From advanced machine learning models to scalable data ecosystems and real-time insights, we transform complex information into clarity that drives strategic outcomes. We’re building a team of curious, collaborative problem-solvers who are excited about pushing the boundaries of what data and AI can do. Whether you’re developing predictive models, enhancing AI-driven capabilities, strengthening data governance, or uncovering insights that influence key decisions, you’ll play a critical role in shaping how SageSure uses data and intelligence to lead the future of insurance. About SageSure: Named among the Best Places to Work in Insurance by Business Insurance for four years in a row (2020-2023), SageSure is one of the largest managing general underwriters (MGU) focused on catastrophe-exposed property in the US. Since its founding in 2009, SageSure has experienced exceptional growth while generating underwriting profits for carrier partners through hurricanes, wildfires, and hail. Available in 16 states, SageSure offers more than 110 home, flood, and commercial products on behalf of its highly rated carrier partners. Today, SageSure manages more than $3.2 billion of inforce premium and helps protect more than 970,000 policyholders. We have more than 1,000 employees in a distributed workforce environment across 12 offices—Fairfield, CA; Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WI—who are tackling the industry’s toughest challenges. SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work. Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets. Come join our team! Visit sagesure.com/careers to find a position for you. California Applicants: View SageSure’s Workforce Members’ Privacy Notice - CA Privacy Policy & Notice of Collection

Data Science Intern

U.S. Venture, Inc

Appleton, WI

Position Summary: Join the U.S. Venture Data and Analytics team as a Data Science Intern for Summer 2027! This internship will start May 2027 through August 2027 and is located at our downtown Appleton office. Job Responsibilities: The ideal candidate is a data enthusiast who is looking to apply data science methodologies and solutions in industry to solve real-world business scenarios. The right candidate will be excited by the prospect of identifying and implementing data science solutions that support US Venture’s strategic initiatives. We are seeking an intern who is self-directed and will be comfortable supporting the data needs of multiple teams, systems, and products. We are seeking a team player possessing strong analytical as well as technical skills and who can communicate the logic behind technical decisions to non-technical stakeholders. Other duties as assigned Qualifications: Pursuing a bachelor's or advanced degree in Data Science, Statistics, Computer Science, or related field Ability to build processes that support data transformation, data structures, metadata, dependency, and workload management Proficiency in Python, with a strong emphasis on data manipulation and analysis using libraries such as Pandas Basic understanding of machine learning concepts and algorithms Demonstration of previous data science projects is preferred Strong interpersonal skills and ability to work with cross-functional teams

Data Science Intern

Walgreens

Deerfield, IL

Job Summary: Supports Walgreens data science team by collecting, cleaning, and analyzing large datasets to help influence key business decisions. Assists with building, testing, and validating statistical models and machine learning solutions that contribute to the strategic initiatives and department goals of the function the role supports. Translates data-driven findings into clear insights and recommendations for business stakeholders. Job Responsibilities: Performs various activities that contribute to the strategy development process for the assigned business unit. Utilizes various tools and resources to analyze information and make recommendations to support the business. Provides general day to day support across the various divisions within Walgreens. Suggests recommendations to leadership for improving and updating policies and processes. May deliver a project aligning to strategic priorities and present to manager/leadership upon completion. About Walgreens Founded in 1901, Walgreens (www.walgreens.com) proudly serves nearly 9 million customers and patients each day across its approximately 8,500 stores throughout the U.S. and Puerto Rico. Walgreens has approximately 220,000 team members, including nearly 90,000 healthcare service providers, and is committed to being the first choice for pharmacy, retail and health services, building trusted relationships that create healthier futures for customers, patients, team members and communities. Basic Qualifications Currently enrolled in a Bachelor’s degree program with 2 semesters remaining upon start date Experience communicating via written reports and presenting the information in a formal or classroom setting. Experience collaborating with teams Basic level skill in Microsoft Office Suite (Microsoft Word, PowerPoint, Excel). Preferred Qualifications Pursuing a Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field. Experience with Python for data analysis and modeling. Experience writing SQL queries to extract and manipulate data from relational databases. Familiarity with machine learning concepts and libraries (e.g., scikit-learn, pandas, NumPy). Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib) to communicate findings. Strong analytical and problem-solving skills with attention to detail. The Salary below is being provided to promote pay transparency and equal employment opportunities at Walgreens. The actual hourly salary within this range that you will be offered will depend on a variety of factors including geography, skills and abilities, education, experience and other relevant factors. This role will remain open until filled. To review benefits, please click here jobs.walgreens.com/benefits. If you are applying on a job board or unable to click on the link, please copy and paste this URL into your browser jobs.walgreens.com/benefits Salary Range: $15 - $33.65 / Hourly

Data Science Intern

North Carolina Office of the State Auditor

Raleigh, NC

Data Science Internships Are you looking to gain experience in the field of Data Science? Do you want to learn the importance of Data Science within a government agency? The North Carolina Office of the State Auditor is searching for an intern to serve on our Data Science Team. Within this internship you will gain hands-on experience through directly working on projects assigned to the Data Science Team. As a Data Science Intern, you will work on projects that leverage advanced analytical techniques to extract meaningful insights from complex and diverse data sets. You’ll assist in planning and executing analyses that address regulatory requirements, audit objectives, or strategic initiatives. In addition, you’ll prepare internal reports to clearly communicate findings and recommendations to stakeholders, ensuring data-driven reports and decisions are well-informed. These projects will give you hands-on experience applying statistical modeling, machine learning, and data visualization methods to solve real-world challenges and support impactful outcomes. Qualifications Current graduate student pursuing a degree in Data Science, Statistics, Mathematics, or a related field with a minimum 3.0 GPA Experience with SQL, Python, and data-based Python packages (such as Pandas and NumPy) Experience integrating Large Language Models (LLMs) into data analysis processes preferred but not required Experience with conducting research using data (such as writing a data-based thesis or performing as a research assistant) preferred but not required Program Details Spring 2027 Competitive hourly rate Internship will be hosted in the Raleigh headquarters office How to Apply Interested candidates should complete the Internship Program Application by clicking the link below. Search for Jobs Attach the 3 following supplemental documents to your state application: Resume Copy of Transcript Faculty/professor letter of recommendation(s) – minimum of one Application Deadline: Friday, October 30, 2026 Candidates selected for interview will be contacted by Monday, November 30, 2026 Candidates selected for interview will be contacted by Friday, July 31, 2026 For questions, contact osa.internprogram@ncauditor.gov

Data Science Intern

TikTok

San Jose, CA

Responsibilities We're the TikTok Monetization Products Data Science team, enabling and championing data-driven decision-making. Our vision is to become a world-class data science team where data is used rigorously to drive all decision-making. Our mission is to drive monetization and sustainable revenue growth for TikTok through data science. We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date). Responsibilities - Analyze large and complex datasets to solve challenging business problems using a range of analytical methods. - Design, analyze, and interpret projects end-to-end, from data requirement gathering and processing to modeling and developing actionable business recommendations. - Partner with cross-functional teams to identify opportunities that leverage advanced analytical and modeling techniques. - Design, execute, and interpret experiments, including A/B tests, to generate actionable insights. - Communicate insights and recommendations effectively to team leadership and contribute to strategic decision-making. Qualifications Minimum Qualifications - Currently pursuing a PhD degree in a quantitative field such as Economics, Statistics, Applied Mathematics, Engineering, Computer Science, or Business Analytics. - Experience with data querying and manipulation using SQL, Python, or R. - Experience performing data analysis using a scripting language such as Python, R, or MATLAB. - Must be able to commit to a 12-week full-time internship during Summer 2027. Preferred Qualifications - Internship or research experience in data science. - Experience working with cross-functional teams. - Strong ability to learn quickly, work independently, and solve complex problems creatively. - Strong sense of ownership and ability to translate analytical insights into business impact. - Strong collaboration and communication skills, with the ability to work effectively in a fast-paced, culturally diverse, and globally distributed team environment. Job Information 【For Pay Transparency】Compensation Description (Hourly) - Campus Intern The hourly rate range for this position in the selected city is $35- $55. ​ Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance. ​ The Company reserves the right to modify or change these benefits programs at any time, with or without notice. ​ For Los Angeles County (unincorporated) Candidates: ​ Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: ​ 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; ​ 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and ​ 3. Exercising sound judgment. ​ About TikTok TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. ​ Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. ​ We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us. ​ ​ Diversity & Inclusion ​ TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too. ​ TikTok Accommodation TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request ​

Consultant, Data Science

Dell Technologies

Round Rock, TX

Job Description Consultant, Data Science Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What's more, we are in collaboration with leading academics, industry experts, and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. What you'll achieve: As a Consultant, you will lead initiatives in advanced analytics, machine learning, and data-driven decision-making. You will design scalable models, optimize algorithms, and collaborate across teams to deliver actionable insights. You will champion innovation and ensure data science solutions align with business objectives. Join us to do the best work of your career and make a profound social impact as a Consultant on our Data Science team in Round Rock, Texas . Responsibilities You will: Develop and deploy predictive models and machine learning algorithms. Collaborate with stakeholders to translate business needs into data science solutions. Ensure data integrity, governance, and compliance across projects. Drive continuous improvement through experimentation and innovation. Qualifications Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements 8-10+ years of related experience in a professional role or equivalent experience Expertise in statistical modeling, machine learning, and data visualization. Proficiency in Python/R and experience with big data platforms. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Desirable Requirements Bachelor's degree in Data Science, Computer Science, or related field; advanced degree a plus. Certifications in AI/ML or cloud data platforms. Compensation Dell is committed to fair and equitable compensation practices. The salary range for this position is $196,000 to $254,000 Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com

Data Science Manager

Forbes

United States

At Forbes Advisor, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Forbes Advisor boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Forbes Advisor's global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. Overview We're looking for a Data Science Manager who can turn commercial problems into scalable Data Science products. You'll work closely with the Director of Data Science to turn our Data Science strategy into scalable products and measurable business outcomes. You'll manage the day-to-day work of a growing team while partnering directly with stakeholders across the business to understand the decisions they're trying to make and identify where Data Science can materially improve the outcome. This is a player-coach role. You'll lead and develop a growing team of Data Scientists while remaining close enough to the work to shape methodology, review technical outputs and contribute hands-on where needed. Your success won't be measured by how many models the team builds, but by how widely they're used and the commercial impact they create. This is not a research-focused role. We want someone who enjoys solving difficult modelling problems but is equally interested in what happens afterwards: how a model gets into production, how people use it, what we learn from it and whether it actually improves performance. Responsibilities Commercial & Decision Science: Work with the Director of Data Science and business and marketing teams to identify high-value opportunities for Data Science, translating commercial problems into predictive models and decision-making products. You'll focus on areas including lifetime value, propensity modelling, customer value, forecasting and performance marketing optimisation, with commercial impact at the centre of how work is prioritised. Scalable Data Science Products: Guide the development of reusable models and methodologies that can scale across products, verticals and use cases rather than repeatedly solving the same problems. You'll take work from experimentation through adoption, ensuring outputs are measurable, explainable and designed around how they'll ultimately be used. Production Data Science: Work closely with Engineering and ML Ops to turn successful modelling work into reliable production products. You'll ensure models have appropriate experimentation, monitoring, retraining and feedback loops, while partnering with technical teams on the infrastructure needed to operate them at scale. Business Partnership & Insight: Build trusted relationships across Marketing, Commercial, Analytics, Product and Engineering. You'll translate business needs into Data Science opportunities and complex modelling into clear recommendations, ensuring the team goes beyond producing predictions to explain what they mean, what we can learn from them and what the business should do next. Team Leadership & Technical Quality: Lead and develop a growing team of Data Scientists while remaining technically close to the work. You'll coach the global team, review modelling approaches and technical outputs, establish consistent standards and contribute hands-on where it adds value. You'll create an environment where technical rigour, curiosity and commercial thinking reinforce one another. Requirements Experience managing and developing Data Scientists while remaining comfortable working at a technical level. Strong experience in predictive modelling, machine learning and customer analytics. Experience applying Data Science to commercial or performance marketing problems, ideally including LTV, propensity, customer value or acquisition optimisation. Strong Python and SQL skills and experience working within modern cloud-based Data Science environments. Experience taking models beyond experimentation and working with Engineering or ML Ops teams to deploy and operate them in production. Strong understanding of experimentation and model evaluation, with experience in incrementality or causal inference particularly valuable. Excellent stakeholder management and communication skills, including the ability to translate complex technical work into clear recommendations for senior business audiences. A product mindset, with an interest in building reusable capabilities rather than one-off models. Strong commercial judgement and a focus on measuring the real-world impact of Data Science. Nice to Have Experience in any of the following would be valuable, but we don't expect every candidate to bring all of them: Performance marketing and optimisation across Google, Meta or other major advertising platforms. Value-based bidding or conversion-value optimisation. Direct collaboration with advertising platform Data Science or Marketing Science teams. Affiliate marketing, lead generation or digital publishing. Financial services, insurance, health or other regulated industries. Attribution and marketing measurement. Forecasting commercial or marketing performance. DSP or advertising optimisation algorithms. Modern MLOps tooling and platforms such as Vertex AI. Applied AI techniques that complement traditional predictive modelling and decision science. Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Originally posted on Himalayas

Description: Wurl, LLC is seeking a Data Science Intern for a year-long internship to support the Data Science and Machine Learning team. The role involves analyzing large datasets, identifying anomalies, normalizing data, and improving data accuracy. Requirements: Education: PhD/MSc preferred in Data Science, AI/ML, Statistics, Physics, Mathematics, or Computer Science; BSc with high GPA also accepted. Strong skills in Python, SQL, applied statistics, machine learning fundamentals, and experience with distributed data platforms (e.g., Snowflake, Databricks). Ability to write clean analytical code, perform root-cause analysis, and translate ambiguous problems into mathematical formulations. Personal attributes: high intellectual curiosity, strong ownership, effective communication skills, and a willingness to challenge assumptions. Benefits: Paid internship at $30/hr with flexible scheduling. Remote-first work culture with mentorship from experienced professionals. Recognition as a Great Place to Work and various industry awards.

Data Science Coach

Leland

United States

Leland is building the home for ambition in the age of AI. We connect people with the experts, programs, and communities they need to land the job, get into the school, or upskill for a world being rewritten by AI. We help businesses become AI-native through training, hiring, and infrastructure. Since our founding in 2021, we've helped tens of thousands of people reach their most ambitious goals and raised $19M from world-class investors. Ambition is sacred to us, and we've built a product that takes that seriously. We're seeking an experienced Data Science Coach to work with clients looking to break into or grow within data science roles. This role includes teaching core data science strategy, machine learning, and predictive modeling skills, as well as helping clients strengthen data cleaning and preprocessing, data visualization, statistical analysis, and data pipeline automation practices. Coaches also guide clients on applying emerging tools like AI fundamentals, AI model evaluation, and AI automation to their data science work. On the career side, coaches offer resume review, LinkedIn review, and cover letter guidance, along with behavioral and technical interview prep tailored to data science roles, plus networking strategy, salary negotiation, promotion strategy, broader skill building, and support for those pursuing freelancing opportunities. Ideal candidates have hands-on experience in data science (as a data scientist, machine learning engineer, or industry professional), a strong track record of turning data into actionable insight, and a clear, structured approach to coaching clients through both technical and career growth. Coaches set their own hours and rates, host sessions virtually, and partner with our team to deliver a high-quality, supportive experience for every client. Why Leland? The chance to join a world-class team helping people achieve their career and educational dreams Work in a collaborative, high-energy environment where your contributions have a direct impact Operate in a fast-paced, AI-native environment We don't hire people who merely want to work for a great company; we hire people who want to make a great company Leland is an equal opportunity employer. We encourage candidates of all backgrounds and demographics to apply. Originally posted on Himalayas

Manager, Data Science

Motion Recruitment Partners, LLC

Raleigh, NC

Job Title: Manager Of Data Science Location: Raleigh, NC (27606) Duration: 6 Months (Contract to Hire) Role Overview We are seeking a hands-on Manager of Data Science to lead a high-impact team on our Agentic Content Platform - building the shared agents, evaluation, and platform core capabilities that run our content streams, and owning the delivery of some streams end to end. This is a player-coach role combining people's leadership, technical strategy, and selective hands-on data science contribution. Key Responsibilities Scope & Impact Set the vision and strategic priorities for AI across the content platform, acting as a recognized expert for Data Science Own delivery of your assigned content streams - quality, timeliness, and automation level - while contributing reusable capability back to the shared platform Lead and develop a team of data scientists, setting the cultural tone for the group Drive applied research with a clear path to production, keeping the business outcome as the first priority and working within real-world constraints such as latency and reliability Build and scale evaluation science capabilities within the team, including offline evaluation frameworks, automated benchmarking pipelines, and human-in-the-loop feedback systems to rigorously measure model quality and business impact Champion hands-on rapid prototyping and iteration Collaborate with other Data Science teams to maximize re-use of components and patterns, eliminating waste, duplication and unnecessary customization Operate with broad scope, coordinating across multiple cross-functional teams, systems, and domains Exercise judgment about where to automate, where to keep a human editor in the loop, and how to move that line over time Select the right tools and technologies for the business problem Technical & Product Leadership Define and execute the AI roadmap for the content platform, prioritizing reusable platform capabilities and agent-based workflows over one-off solutions. Translate ambiguous business problems into clear technical strategies and delivery plans, identifying tradeoffs and alternative approaches when constraints arise. Design and oversee production-grade AI systems that meet customer requirements for accuracy, reliability, scalability, and appropriate human oversight. Partner with Product, Engineering, and Architecture leaders to establish shared foundations, integrate AI into the platform at scale, and replace bespoke tooling with reusable workflows. Lead by example through hands-on technical contributions, including writing code, developing and demonstrating prototypes, and contributing to experiments and production models. Establish and scale Data Science standards for experimentation, evaluation, deployment, monitoring, performance, and reliability across both the team's solutions and shared capabilities. Team & Operational Excellence Foster a culture of curiosity, adaptability, responsible innovation, knowledge sharing, and continuous learning, enabling the team to evolve as technologies, customer needs, and business priorities change. Build, mentor, and develop a high-performing data science team, supporting individual growth and career development. Establish clear goals, priorities, operating rhythms, and accountability for the team's work. Foster effective collaboration across Product, Engineering, Design, Legal, and other business functions. Promote a culture of technical excellence, responsible innovation, knowledge sharing, and continuous improvement. Ensure the team has the skills, resources, and organizational support needed to deliver against business priorities. Core Qualifications Experience & Education Advanced degree (Master's or PhD) in Data Science, Computer Science, Statistics, or a related field strongly preferred, or equivalent practical experience Bachelor's degree in a relevant field with significant applied experience in data science, machine learning, or AI Typically requires: 8+ years of relevant experience in data science, machine learning, or applied AI 4+ years of leadership experience (direct or indirect team management) We recognize that exceptional candidates may follow non-traditional paths and value demonstrated impact, technical depth, and leadership over strict credential requirements. Technical Proficiency Proficient with Python, ML and LLM tooling such as Google ADK, LangChain/LangGraph, ML frameworks (e.g. TensorFlow, PyTorch) and prompt tuning techniques Experience building multi-agent or orchestrated LLM systems - task decomposition, tool use, routing, state and failure handling Familiarity with vector databases, knowledge graphs, and hybrid retrieval architecture Strong experience working with structured and unstructured data at scale Ability to design and implement data pipelines and preparation workflows Experience integrating ML into complex, multi-stage processing systems, including event-driven architectures Working knowledge of containerization, CI/CD, RESTful API design and model serving tools Familiarity with LLM observability and evaluation tooling (tracing, offline eval harnesses, LLM-as-judge and human review pipelines) Cloud infrastructure experience on AWS (preferred), Azure, or Google Cloud Platform Familiarity with AI coding tools (e.g. GitHub Copilot, Claude Code, OpenAI Codex)

Data Science Tutor

Varsity Tutors, a Nerdy Company

Remote

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As an independent contractor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home. Why Join Our Platform? Earn incrementally higher pay for each session with the same student, reaching up to $40/hour. Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice. Set your own hours and tutor as much as you'd like. Tutor remotely using our purpose-built Live Learning Platform. No commuting required. Get matched with students best-suited to your teaching style and expertise. Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching. We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments. What We Look For In a Data Science Tutor Advanced Subject Mastery: Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data-driven insights. Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs. Conceptual Teaching & Problem-Solving: Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data presentations. Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. Curriculum Awareness & Adaptive Instruction: Familiar with data science curricula and bootcamp programs, and common challenges such as data cleaning complexity, selecting appropriate statistical tests, and communicating technical findings to non-technical stakeholders. Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning implementation. Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles. Strong communication skills and a friendly, engaging teaching style. Ability to adapt to different learning styles and student needs. Ways To Connect With Students 1-on-1 Online Tutoring - Provide personalized instruction to individual students. Instant Tutoring - Accept on-demand tutoring requests whenever you're available. About Varsity Tutors And 1-on-1 Online Tutoring Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning. Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, New Jersey, North Dakota, Vermont, West Virginia or Puerto Rico.

Data Science Intern

Epic Games

Cary, NC

WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. ECOSEC What We Do Our ECOSEC team provides a safer experience for Epic's users. We work across multiple products and services to improve technology and craft transparent policies so our players and users can have positive experiences on our platforms. DATA SCIENCE INTERN What You'll Do We are looking for a Data Science Intern to join the Ecosystem Security team supporting initiatives related to fraud and abuse detection. As part of the EcoSec team, you will be given a detection problem to own as part of our development cycle. You will work with your data science mentor and the operations analysts who investigate these cases to explore the data, build a model, and measure its impact on how we protect players. In this role, you will Explore large transaction, account, gameplay, and behavioral datasets to characterize how a specific form of abuse actually works Build and evaluate statistical or machine learning models that detect abusive activity at scale Partner with operations analysts to translate their investigation heuristics into model features, and measure your results against real outcomes like confirmed cases and false positive rates Build dashboards or monitoring so the team can track your signal without an analyst in the loop Document your data sources, methodology, and findings so the work can be extended after your internship, and present your results to the team What we're looking for Experience with Python for data analysis, pandas and scikit-learn preferred Ability to write SQL against large datasets to pull and shape your own data A grounding in statistics and machine learning fundamentals, including classification and evaluation metrics beyond accuracy A desire to develop strong data science and software development skills Genuine curiosity about adversarial problems, specifically how and why people find ways to game a system Good interpersonal and communication skills, with demonstrated ability to communicate technical findings within a team The ability to react and respond effectively to constructive feedback A flexible approach to rapidly evolving problems, and comfort working with messy or sparsely labeled data Nice to have: exposure to any of anomaly detection, graph or network analysis, text classification and NLP, or sequence and time-series modeling Nice to have: interest in games, live services, or online trust and safety This internship has a flexible start date in 2027. Recruitment will be ongoing until teams find an ideal match. Applicants must be legally authorized to work in the posting location for the duration of the internship. For more information about Epic’s Early Career Program, visit epicgames.com/earlycareers . This is going to be Epic! ABOUT US Epic Games​ ​is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .