Top Data Science Jobs in Louisville, KY

The Data Scientist will develop and evaluate AI-augmented information retrieval models, build NLP pipelines, and contribute to knowledge graph work while collaborating with Engineering, Product, and Marketing teams.

The Data Scientist will analyze customer behavior data, drive business decisions through analytics, and collaborate with cross-functional teams to enhance product and revenue strategies.

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

This role involves analyzing blockchain data, mentoring a team, building models, and collaborating with blockchain researchers to enhance product development and security.

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 role involves analyzing healthcare data to optimize care delivery, predict patient needs, and support internal teams through insights, dashboards, and A/B testing.

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.

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

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 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.

Champion Responsible AI across the enterprise by developing and operationalizing ethical, transparent, and compliant AI solutions. Lead R&D and production deployments of generative and traditional ML, design evaluation and monitoring frameworks, conduct model risk and fairness assessments, and partner with legal, compliance, and IT to implement governance and training.

Lead advanced analytical initiatives to optimize pharmaceutical distribution processes using data science methodologies. Design predictive models, analyze data, and present strategic insights to senior leadership.

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

As a Staff Data Scientist in AI Products, you will drive AI/ML capabilities, influence product strategy, and collaborate with various teams to enhance data foundations.

The Business Intelligence Engineering Manager will lead an analytics team, drive insights, manage operations, and optimize data models while collaborating across departments and ensuring data quality and governance.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

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 analyze customer data, define success metrics, lead technical teams, and develop data infrastructure to improve products at Webflow.

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

Drive measurement, causal inference, and experimentation to optimize content promotion and personalization. Build robust metrics, partner with product and engineering, surface discovery opportunities, and independently deliver high-impact analytics and ML solutions.

The Data Scientist will develop and maintain predictive models for insurance, support business strategies, and collaborate with teams to enhance decision-making.

Conduct data science research on experimental methodologies and causal modeling, develop tools to analyze experimental data, prototype improvements to platform features, and communicate results to internal teams and external stakeholders to drive product and research decisions.

Build and manage predictive modeling and risk frameworks for data-driven decision-making in a fast-paced SaaS environment. Directly operationalize models for real-time insights, collaborating across teams to enhance analytics with AI technologies.