Top Data Science Jobs in Columbus, OH

Lead the development and deployment of Generative AI applications, collaborate with teams to deliver business use cases, and enhance data science skills.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

The role involves designing and implementing GenAI solutions at The Hartford, partnering with stakeholders, and prototyping with cutting-edge tools.

The Staff Data Scientist will enhance Pinterest's Curation by developing models and frameworks to understand and improve recommendation systems, influencing product strategy and mentoring junior scientists.

The Assistant VP, Data Scientist will develop and deploy AI applications, collaborate with stakeholders, and lead AI initiatives within the bank.

The Associate Data Scientist will build and evaluate machine learning models, derive insights from data, and collaborate on data science solutions to solve complex problems.

The Senior Data Scientist will drive product innovation through experimentation and robust measurement strategies in Netflix Games, collaborating with Product and Engineering teams to enhance user experience.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

The Data Scientist will build and operate models to improve logistics operations, focus on driver behavior, and analyze data for better delivery efficiency.

The role involves designing forecasting models for revenue, collaborating with teams to optimize growth strategies and drive analytics for business decision-making.

Conduct failure analysis on AI agent performance in finance tasks, identifying patterns and recommending improvements based on statistical findings.

The Data Scientist will lead data projects, apply advanced machine learning, and derive insights to influence business strategies while mentoring junior colleagues.

The Data Scientist L6 leads the technical strategy for Netflix's Games Portfolio Team, focusing on forecasting, metrics ecosystems, audience insights, and model development while mentoring team members and ensuring production-grade data products.

As a Data Scientist, you will enhance business strategies through data science methods, focusing on Experimentation, Causal Inference, and improving member experience. You will collaborate with various teams to execute roadmaps and present research insights.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

Conduct analyses on ambiguous problems, guide data ownership, and maintain statistical rigor while influencing stakeholders through data storytelling.

The Data Scientist will ensure statistical validity of products, develop techniques to enhance user value, collaborate cross-functionally, and drive data accessibility through optimizing queries and processes.

The Senior/Staff Data Scientist will develop models, data products, and insights for informed decision-making, creating dashboards and reports that drive business operations and outcomes.

Lead multi-omics analyses in therapeutic discovery, focusing on structural biology and proteomics; develop Python solutions and communicate findings.

The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.

As a Senior Data Scientist, you'll partner with marketing stakeholders to develop analytical models, generate insights, and improve business decision-making through data-driven recommendations.

The Data Scientist will drive product innovation at Netflix by applying analytics, modeling, and experimentation to enhance the member experience for mobile users and content discovery.

The Forward-Deployed Data Scientist will validate healthcare data quality, analyze and visualize data using SQL and Python, and collaborate with clients and internal teams to enhance AI models and customer delivery processes.

The Staff Data Scientist will enhance engagement strategies using machine learning, lead cross-functional projects, mentor junior scientists, and collaborate on product insights.

As a Staff Marketing Data Scientist, you will develop innovative measurement methodologies, lead analytics frameworks, and collaborate to drive data-informed marketing strategies.