Senior Data Scientist

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Design, develop, and assess production-level statistical and machine learning models.

• Create predictive solutions that enhance healthcare operations, member experience, provider engagement, and overall business performance.

• Execute feature engineering and validate models.

• Establish optimal practices for experimentation and model evaluation.

• Utilize and promote advanced statistical methodologies.

• Analyze extensive and intricate datasets to uncover trends, opportunities, and operational insights.

• Convert business inquiries into analytical strategies and measurable results.

• Deliver findings and recommendations to both technical and non-technical stakeholders.

• Assist business stakeholders in making informed, data-driven decisions.

• Design and analyze experiments that assess process enhancements, AI systems, and business interventions.

• Define success metrics and measurement strategies for AI and analytics projects.

• Evaluate model performance and its business impact over time.

• Collaborate with stakeholders to establish KPIs.

• Create dashboards aimed at executives and business users.

• Promote metric standardization and ensure consistency in reporting.

• Analyze trends and provide insights on shifts in business performance.

• Identify opportunities where analytics, machine learning, or AI can enhance operational outcomes.

• Assist in the evaluation of emerging AI capabilities and relevant business use cases.

• Perform additional duties as assigned.

⛳️ Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a similar combination of education and experience is required.

• Over 5 years of experience in data science, analytics, machine learning, AI, or applied statistics.

• Proficient knowledge of statistics.

• Strong proficiency in Python.

• Advanced understanding of SQL.

• Experience in developing predictive models and analytical solutions.

• Proven ability to communicate insights effectively to business stakeholders and executives.

• Solid comprehension of experimentation, model evaluation, and statistical analysis.

• Familiarity with working in healthcare, insurance, claims, or other regulated industries.

• Experience with Power BI or similar business intelligence platforms.

• Familiarity with cloud-based analytics environments.

• Understanding of machine learning deployment workflows.

• Knowledge of generative AI evaluation methodologies and LLM-based systems.

• Experience with coding assistants, such as Claude Code, for feature-oriented development.

• Reliable internet connection through a cable broadband or fiber optic service provider with a minimum speed of 100Mbps download/25Mbps upload is required for remote work.

🏝️ Benefits

• Medical insurance.

• Dental insurance.

• Vision insurance.

• Life insurance.

• Disability insurance.

• Generous paid time off.

• Tuition reimbursement.

• Employee Assistance Program (EAP).

• Technology stipend.

• Flexible work-from-home options available.