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About the Role
The Senior Data Scientist will leverage data to provide actionable insights, develop predictive solutions, and evaluate AI/analytics outcomes to enhance business decisions and performance.
Responsibilities
- Design, develop, and evaluate production-grade statistical and machine learning models.
- Develop predictive solutions supporting healthcare operations, member experience, provider engagement, and business performance.
- Perform feature engineering and model validation.
- Establish best practices for experimentation and model evaluation.
- Employ and evangelize advanced statistical techniques where applicable.
- Analyze large and complex datasets to identify trends, opportunities, and operational insights.
- Translate business questions into analytical approaches and measurable outcomes.
- Present findings and recommendations to technical and non-technical audiences.
- Help business stakeholders make data-driven decisions.
- Design and analyze experiments to evaluate process improvements, AI systems, and business interventions.
- Define success metrics and measurement strategies for new AI and analytics initiatives.
- Assess model performance and business impact over time.
- Partner with stakeholders to define key performance indicators (KPIs).
- Design executive and business-facing dashboards.
- Drive metric standardization and reporting consistency.
- Interpret trends and provide insight into changes in business performance.
- Identify opportunities where analytics, machine learning, or AI can improve operational outcomes.
- Support evaluation of emerging AI capabilities and business use cases.
- Other duties as assigned.
Requirements
- 5+ years of experience in data science, analytics, machine learning, AI, or applied statistics.
- Strong Python skills.
- Advanced SQL knowledge.
- Experience developing predictive models and analytical solutions.
- Experience communicating insights to business stakeholders and executives.
- Strong understanding of experimentation, model evaluation, and statistical analysis.
- Experience working in healthcare, insurance, claims, or related regulated industries.
- Experience with Power BI or similar BI platforms.
- Experience with cloud-based analytics environments.
- Familiarity with machine learning deployment workflows.
- Familiarity with generative AI evaluation methodologies and LLM-based systems.
- Experience with coding assistants, e.g., Claude Code, for feature-oriented development.
- Reliable internet service is essential for staying connected and productive.
- Internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 100Mbps download/25Mbps upload.
Skills
- Data Science
- Analytics
- Machine Learning
- AI
- Applied Statistics
- Python
- SQL
- Power BI
- Cloud-based analytics environments
- Machine learning deployment workflows
- Generative AI evaluation methodologies
- LLM-based systems
- Coding assistants
- Accountability
- Analytical Problem Solving
- Collaboration
- Quality and Risk Management
- Systems Thinking
- Technical/Functional Expertise
Location
- CHICAGO, IL
Work Type
- Remote
- Full Time
Experience Level
- 5+ years of experience
Education Level
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or equivalent combination of education and work experience
Salary/Compensations
- $160000.00 - $175000.00
Benefits
- Medical
- Dental
- Vision
- Life and Disability Insurance
- Generous Paid Time Off
- Tuition Reimbursement
- EAP
- Technology Stipend
About the Company
- Allied Benefit Systems believes that great talent can thrive from anywhere.
- Our remote friendly culture offers flexibility and the comfort of working from home, while also ensuring you are set up for success.