Data Scientist, Product

Role overview

Product data and stakeholder analytics

• Understand product business needs and data sources, and own documented product analytics data models with Analytics Engineering.
• Manage product and revenue data requests, communicate expectations and progress, and deliver timely, high-quality analysis.
• Drive the strategic analytics roadmap and identify future analytics needs.

Behavior, experiments, and metrics

• Analyze product-event and clickstream data, user journeys, funnels, activation, engagement, and retention.
• Design, run, and communicate A/B experiments; apply statistical rigor and help stakeholders make decisions when findings are inconclusive.
• Define, document, and govern product metrics, and evolve the metrics framework as the product grows.

Agentic analytics

• Contribute domain expertise and evaluation rigor to internal query, analytics, insights, and reporting agents.
• Build evaluation suites with Analytics Engineering, participate in agent improvement, and help develop semantic and prompt layers.

Required qualifications

• 4+ years in product analytics, experimentation, and product-event or clickstream data.
• Advanced degree in Statistics, Computer Science, Mathematics, or a related field, or relevant industry experience.
• Expert SQL and Python skills, or SQL and another coding language, for querying and data manipulation.
• Able to drive initiatives proactively with minimal oversight.

Additional qualification

• Interest in agentic AI in a data context is expected; hands-on implementation experience is preferred but optional.

Workplace

• Remote work is offered from one of the company’s hubs, including Salt Lake City and other listed U.S. cities.

Compensation

• Compensation range is $120,000–$140,000 per year.

Benefits

• Benefits include employee health coverage, dependent care support, a 401(k) match, flexible paid time off, holidays, and paid parental leave.
• Additional offerings include mental-health access, wellness week, home-office and coworking stipends, charitable giving, and professional-development reimbursement.