Looking for a Sr. Decision Scientist / Business Analytics - Clinical Analytics

We are seeking an experienced Senior Decision Scientist who excels in business analytics and possesses a strong statistical background. This role will require a keen sense of numbers and the ability to uncover insights and identify new opportunities through data analytics and experience with designing, launching, and evaluating A/B tests. In this role, you will be instrumental in driving the strategic direction for our business partners, including clinicians and program operation managers.

This role requires expert-level proficiency in SQL and a passion for creating reusable data pipelines that enhance the efficiency of our internal teams. As the go-to person for designing and launching various A/B tests, you will evaluate their outcomes as they mature. This position offers the opportunity to think outside the box and bring innovative efficiencies to our team’s work, including but not limited to developing auto-runnable data pipelines and creating dashboards in Python to track key performance indicators in real time.

You will also be responsible for creating ROI calculations and will need to demonstrate excellent communication and complex problem-solving skills. Our team plays a vital role in supporting mental well-being operations across various areas, including care management and resources for living.

Overview of Responsibilities:

• Conduct retrospective analysis using statistical modeling techniques such as Propensity Score Weighting, Propensity Score Matching
• Design, launch, and monitor various A/B tests
• Analyze large volumes of data related to mental well-being services to uncover insights and inform strategic decisions
• Create and maintain data structures and pipelines to organize, collect, and standardize data for reporting and analysis
• Utilize data visualization techniques to effectively communicate analytical results and support business objectives
• Document projects, including business goals, data collection methods, results, and analytical metrics
• Collaborate with cross-functional teams to ensure data integrity and alignment with organizational goals