Top Senior Data Science Jobs in Columbus, OH

The role involves managing AI and Generative AI projects, leading teams, and leveraging advanced analytics to solve complex business problems, ensuring quality and client satisfaction.

The role involves leveraging data analytics and AI techniques to support client needs, developing models, managing data teams, and building AI solutions. Key responsibilities include data processing, client collaboration, and presenting insights.

The role involves leading predictive analytics efforts in risk and quality use cases, mentoring team members, applying analytics for decision-making, and fostering innovation.

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 end-to-end data science projects: build, deploy, and monitor ML models (credit risk, pricing, collections, fraud). Partner cross-functionally, productionize pipelines, write production-grade code, and communicate results to technical and non-technical stakeholders.

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.

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

The Senior Data Scientist will leverage advanced analytical techniques to measure marketing effectiveness and drive business growth through insights from user behavior data.

The Senior Data Scientist will lead data analysis for AI products, collaborating with teams to influence product strategy and drive measurable business impact.

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

Lead data science initiatives, mentor junior scientists, and apply machine learning to influence enterprise decision-making and improve business outcomes.

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

As a Senior Data Scientist, you will analyze product usage, develop frameworks for user behavior, build statistical models, and collaborate with cross-functional teams to derive actionable insights and influence decision-making.

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

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

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

The Senior Marketing Data Scientist will manage marketing tests, analyze data, develop reporting tools, and support KPI forecasting while collaborating with teams to enhance marketing effectiveness.

The Staff Data Scientist will lead the development and deployment of ML and GenAI systems to detect billing errors and fraud in healthcare payments, collaborating with cross-functional teams.

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.

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

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.

As a Senior Staff Data Scientist at SmithRx, you'll lead the Data team in delivering data-driven insights, mentoring talent, and driving product and business impacts through experimentation and advanced analytics in a healthcare context.

As a Staff Data Scientist, you will lead experimentation strategies, apply advanced causal inference techniques, and guide analytical insights to drive product and business decisions.

As a Staff Data Scientist, lead experimentation efforts, apply causal inference techniques, conduct deep analyses, and mentor junior scientists to influence strategic decisions across the organization.