Data Scientist

• Collaborate and communicate with all levels of management to provide reporting and critical information.
• Creates analysis and visualization materials for business data, metrics, and measures.
• Designs, validates, and schedules queries and reports in various databases and reporting environments.
• Works closely with end users and management to evolve, improve, and automate existing data processes.
• Develops specifications, documentation, and end user materials.
• Documents and maps existing and desired business processes.
• Deploys reports, SQL database objects, and applications to on-premises and cloud environments.

Enterprise Data Lead Analyst

• Develop and own rigorous study designs and measurement plans for CAHPS & HOS interventions, pilots, and programs
• Build, maintain, and scale lightweight A/B testing frameworks to facilitate rapid, consistent experimentation and learning
• Create and maintain a centralized inventory of experiments, insights, and learnings to support organizational knowledge and strategy
• Partner with operations teams and external vendors to ensure methodological integrity and effective, continuous measurement
• Conduct early and consistent evaluation of causal impact, ensuring actionable insights are generated and communicated to stakeholders
• Iterate on study and measurement approaches to accelerate feedback loops and reduce uncertainty in decision-making

Lead Data Scientist – Experimentation

• Acquire, clean and develop datasets from internal and external sources to support business analysis and reporting
• Acquire, validate, store, protect, and adhere to processes around data to ensure the accessibility, reliability, and timeliness of the data for its users
• Develop and execute data architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise
• Identify opportunities for process improvements
• Coordinate with other teams to ensure all aspects of data needs are taken into account
• Prepare data for reporting and analysis including visualizations to support business requirements

Senior Data Manager

• Engage in and support all aspects of the HEDIS program and regulatory operations
• Drive internal and external partnerships to coordinate, guide, and oversee implementation of clinical measures
• Analyze data to solve a wide variety of business problems and create data visualizations that drive strategic vision

Senior HEDIS Data Manager

• Architect goal setting and goal decomposition mechanisms for autonomous agents operating in uncertain or open-ended environments
• Design and implement dynamic planning systems (e.g., hierarchical planning, curriculum learning, scratchpad/self-refinement loops)
• Collaborate on memory, tool-use, and feedback-loop designs enabling multi-step, self-directed agent behavior
• Develop evaluation frameworks for alignment with human intent, consistency, progress against long-horizon objectives
• Prototype agents that interface with APIs, MCP servers, search engines, databases, or real-world actuators to pursue goals safely and efficiently
• Explore mechanisms to detect and mitigate goal misalignment, looping behavior, or undesirable emergent strategies
• Work across teams to integrate goal alignment with safety, alignment, and operational reliability mechanisms

Lead Data Scientist – Autonomous Goal Management

• Lead the enterprise strategy for clinical data science, including predictive modeling, machine learning innovation, and causal evaluation of clinical programs.
• Develop and deploy advanced models that identify, stratify, and prioritize members for clinical and care management interventions.
• Oversee development of models for high-risk and rising-risk identification, avoidable utilization, chronic condition progression, and care management prioritization.
• Advance the organization’s AI capabilities by applying modern machine learning approaches, including deep learning and transformer-based models, to large healthcare datasets.
• Partner with clinical, operational, actuarial, and analytics leaders to translate business and clinical priorities into scalable data science solutions.
• Establish standards for model governance, monitoring, and performance management to ensure regulatory compliance, fairness, and responsible AI practices.
• Build, lead, and mentor a high-performing team of data scientists.

Data Scientist jobs in South Dakota

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Enterprise Data Lead Analyst

Lead Data Scientist – Experimentation

Senior Data Manager

Senior HEDIS Data Manager

Lead Data Scientist – Autonomous Goal Management

Senior Director, Clinical Data Science