Top Data Science Jobs in Columbus, OH

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

As a Data Scientist II, you'll analyze products, design experiments, and build metrics to enhance customer experience and product strategy at Coinbase.

As a Data Scientist II at Coinbase, you'll analyze products, conduct experiments, and develop metrics to enhance user experiences and drive product improvements.

The Data Scientist II will perform analyses to answer strategic questions, design experiments, and develop key metrics to support Coinbase's Institutional business.

Lead the design and development of scalable machine learning systems, mentor data scientists, and influence product roadmaps to enhance customer experience and business outcomes.

The Staff Data Scientist will lead analytics and machine learning projects, improve product metrics, and collaborate with cross-functional teams to drive insights and strategies for the Base app.

As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

Lead specialized projects in generative AI and content curation, mentor junior data scientists, and develop advanced AI models for scientific content analysis.

As an AI Scientist, you will design and implement generative AI solutions, support AI strategy alignment, and collaborate with teams to improve workflows in insurance.

The Senior Data Scientist will design and implement data-driven initiatives, optimize product offerings using AI/ML, and collaborate with engineers on scalable solutions.

The Senior Data Scientist will analyze business problems, guide data visualization, and ensure statistical rigor while collaborating with cross-functional teams at Coinbase.

As a Senior Data Scientist, you will analyze data to produce insights, guide team decisions, improve systems, and influence stakeholders. You'll conduct rigorous experimentation and causal analysis to solve complex business challenges.

As a Senior Data Scientist at Coinbase, you'll analyze complex problems, influence product strategy using insights, and guide data practices in a high-caliber team environment.

The Senior Data Scientist will conduct analyses to guide decision making, own data metrics, and influence stakeholders using statistical rigor and expertise in SQL and Python.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

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.

The Senior Data Scientist will lead the development of analytics products for revenue cycle operations, mentor junior team members, and ensure scalable data solutions. Responsibilities include building metrics frameworks, executing complex analyses using SQL and Python, and collaborating with engineering teams to enhance client insights and relationships.

Design, develop, and operationalize Python-based AI/ML solutions for cybersecurity. Build data ingestion and ETL pipelines, implement models and APIs, apply MLOps for lifecycle management, analyze security telemetry, validate and monitor models, and collaborate with engineering and threat teams for production readiness and automation.

Design, build, and deploy ML and statistical models for threat and anomaly detection; engineer security data pipelines; partner with SOC and engineering to embed analytics into controls and incident response; monitor model performance, and communicate findings to technical and non-technical stakeholders.

Lead design and development of ML systems for restaurant technology, including menu recommendations and demand forecasting, influencing strategic decisions and enhancing customer experiences.

The role involves managing data to uncover insights, developing predictive models, and bridging clients with data intelligence within the context of evolving market research methodologies.

As a Data Scientist, you'll design statistical models, implement ML lifecycles, explore AI techniques, visualize data, and communicate insights.

The Lead Data Scientist will drive marketing analytics strategies, oversee test designs, and optimize marketing performance through data-driven insights and solutions.

The Data Scientist I will analyze large datasets to extract insights, develop score models, forecast campaign performance, and monitor portfolio performance while collaborating with technology teams.