Top Senior Data Science Jobs in Columbus, OH

This role focuses on utilizing data analysis to support product and go-to-market functions, driving customer acquisition and retention while mentoring junior analysts.

The Sr. Football Data Scientist will build, deploy, and refine analytical models for football insights, managing large datasets and collaborating with teams for high-quality analytics solutions.

The role involves designing and interpreting experiments, leading cross-functional teams, mentoring data scientists, and analyzing data using statistical methods to inform product development.

Lead teams in applying statistical genetics to identify and validate drug targets, collaborate with varied data scientists and stakeholders, develop project plans, and utilize diverse datasets for drug discovery.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

As a Staff Data Scientist at SentiLink, you will develop fraud detection models, conduct analyses, collaborate across teams, and drive the development of financial risk products.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

The Senior Data Scientist will build data products for insights, develop a data platform, validate impact with partners, and improve technological solutions for student mental health care.

As a Staff Data Scientist at 15Five, you'll develop and integrate AI/ML models into performance management systems, conducting data analysis and statistical modeling to enhance business insights and outcomes.

The Data Scientist will lead measurement initiatives for ad campaigns at Netflix, focusing on experimentation, modeling, and cross-functional collaboration to drive impactful solutions.

As a Staff Data Scientist, you will lead product strategy by building predictive models, optimizing matching algorithms, and guiding product innovations in a consumer tech environment.

The role involves improving data processes, building web infrastructure, and collaborating with research teams to enhance scientific workflows through digital solutions.

The Lead Data Scientist will enhance analytics through predictive modeling and data engineering, focusing on quality, feature generation, and continuous learning.

The Data Scientist IV leads machine learning model development, performs data analysis for insights, collaborates on projects, and mentors junior team members.

Develop a tool to enhance signature management capabilities and integrate diverse data holdings, leveraging AI/ML solutions to meet operational needs.

The role involves analyzing large datasets, developing predictive models using machine learning, collaborating with stakeholders, and creating interactive dashboards to present insights.

The Data Scientist II will design and deploy ML models for autonomous vehicles, enhance data tagging, and improve dataset quality through advanced techniques and frameworks.

The Data Scientist will develop tools for enhancing signature management capabilities, integrate diverse data holdings, and leverage AI/ML solutions for operational support.

Lead the design and evolution of agentic systems for Chaos AI, optimizing LLMs in financial workflows, and mentoring engineers and data scientists.

Seeking a Senior Data Scientist to develop AI/ML models for predictive maintenance and logistics forecasting, ensuring alignment with mission objectives and collaborating within Agile teams.

The Sr. Data Scientist develops AI/ML solutions, builds data pipelines, mentors technologists, and collaborates with teams to meet operational goals.

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

The Senior Data Scientist will develop marketing intelligence frameworks, predictive models, and causal inference systems to drive business growth and enhance decision-making in marketing strategies.

The role involves designing AI-powered systems for offensive security, building data pipelines, deploying models, and collaborating on security automation.

The Principal Bioinformatics Data Scientist will develop advanced computational methods and ML models for genomic analysis and lead innovation in bioinformatics, driving integration of large-scale genomic data.