What You’ll Do

• Own and design data-focused product features from start to finish, including authoring high-quality design specifications, quality control checks, and data dictionaries as well as managing Jira stories
• Collaborate with other Product Managers and Data Scientists to find meaning in high volumes of data using statistical analysis in an approach that can be productized at scale
• Investigate claims data for data quality and other nuances to inform product features
• Manage feature prioritization and backlog grooming with the Development team
• Support release and sprint planning to ensure product enhancements support customers at the right time and in the right sequence
• Collaborate closely with a team of Data Scientists, Product Managers, and engineers to design and deliver capabilities from prototype to scale, then iterate and enhance 

Requirements

• 6+ years of hands-on Product Management, analytics, or data science experience
• Experience working on statistical-driven data products, such as productizing models
• Experience and focus on the elements critical to supporting data science-driven products - reliable inbound data, managing data gaps and variation, data cleansing, and data quality
• Experience implementing statistical models or machine learning algorithms and scaling to “productize” with production-ready insights
• Proficient with SQL and/or Python
• Comfortable working within the AWS environment
• Strong communication skills and ability to work across internal teams 
• B.S. or M.S. in Applied Statistics, Mathematics, Computer Science, Machine Learning, or other quantitative discipline
• Experience with prescription and medical claims data required

Perks & Benefits

• Medical, dental, vision, and basic life insurance
• Flexible PTO and company paid holidays
• Retirement programs
• 1% charitable giving program

Compensation

• Base pay: $120,000 - $200,000
• The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.