Top Remote Senior Level Data Science Jobs in Chicago, IL

Lead data-science projects with customers to develop cloud-based, scalable models and data pipelines. Acquire and prepare data, evaluate and improve models, write extensible code, and collaborate across engineering, product, and partner teams to deliver high-impact AI solutions and best practices.

Lead embedded data science for a core business area (growth, product, AI, or partnerships). Define problems, build metrics and analyses, run experiments, surface insights, and drive actionable recommendations end-to-end to improve key business metrics.

Embedded on a core business unit, you will define problems, build metrics, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end across growth, product, AI/automation, or partnerships.

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

Lead the Data Engineering and Data Science function, driving strategy and execution for data platforms, analytics, and AI solutions. Collaborate with stakeholders to solve complex business problems and mentor a high-performing team.

Activate and operationalize clinical data for analytics by designing data models, taxonomies, and a clinical feature store; build reusable data assets, documentation, and dashboards; ensure data quality and compliance; partner with stakeholders and data engineering to enable downstream analysts, data scientists, and business users.

The Director of Data Sciences leads a team in strategic initiatives, drives machine learning and AI solutions, and manages resources to enhance data-driven decision making across the business unit.

Design, build, and deploy predictive GTM models (LTV, attribution, propensity). Lead experimentation and causal analyses, define KPI measurement frameworks, partner with Data Engineering, and translate statistical insights into actionable recommendations for Sales, Marketing, and Customer Success.

The Director of Data Science leads multiple teams, focusing on Azure architecture and cloud modernization, while mentoring architects, promoting a strong engineering culture, and connecting business goals to technical solutions.

Lead a 5–8 person Data Science team to develop and operationalize FWA detection models using SAS and Python on multi‑payer healthcare claims. Oversee model development, data pipelines, quality reviews, stakeholder presentations, and collaboration with SMEs and BI developers. Split role ~40% management, 60% hands-on coding/analysis.