Top Remote Data Science Jobs in Lexington, KY

Design, test, and deploy time‑series and econometric forecasting models; own end‑to‑end model lifecycle (feature engineering, deployment, monitoring); analyze large datasets to surface drivers; translate results into clear insights for leadership; partner cross‑functionally to scale forecasting capabilities and improve shared tools and pipelines.

Analyze biological datasets using machine learning and deep learning, collaborate on research projects, and communicate findings through visualizations and reports.

As a Full-Stack Data Scientist at Stitch Fix, you will develop customer-oriented solutions in recommendation systems and search engines, impacting business outcomes and collaborating with teams to innovate client-facing products.

The Lead Data Scientist will develop advanced analytical solutions for pricing and customer insights in pet insurance, mentor teams, and collaborate with stakeholders.

The AI Data Engineer at NiCE will support interaction analytics, transforming unstructured customer experience data and collaborating with sales and product teams to enhance analytics solutions.

The Senior Data Scientist will analyze DeFi and stablecoin data to enhance understanding of liquidity and market behaviors, create dashboards, and develop measurement frameworks in collaboration with various teams.

The Senior Data Scientist will develop models and analyses for risk and revenue decisions, collaborating with various teams to optimize funding for eCommerce.

Seeking a Senior Data Scientist with experience in machine learning and generative AI to design, build, and deploy models to improve healthcare outcomes. Responsibilities include developing analytics solutions, working with diverse healthcare data, and mentoring clients.

As a Senior BI Analyst, you will execute data analytics projects, utilizing BI tools for data extraction, reporting, and visualization while collaborating with clients and internal teams.

Lead the Data Science team to execute complex technical initiatives, manage model development, and define strategic priorities for growth. Collaborate with cross-functional teams and maintain high standards in model validation and product delivery.