Principal Data Scientist - Product

Principal Data Scientist – Product

8+ years in a Data Science or Product Analytics role
Marketplace experience
Experience building data solutions in product experiences
Advanced SQL skills
Intermediate skills in a scripting language (R or Python)
Ability to turn raw complex data into insights
Proactively takes ownership over success of initiatives from ideation to delivery
Ability to choose the right level of complexity to solve problems given constraints
Understanding of customer needs and how insights improve their experience
Ability to translate complex data insights into simple, actionable narratives for both technical and non-technical stakeholders
Ability to effectively work with cross-functional stakeholders
Effectively prioritizes work based on product priorities
Proficient in designing and analyzing A/B tests

Operationalize + own the Marketplace Supply Coverage Framework to identify quality supply gaps, recommend solutions and measure the impact of coverage initiatives
Monitor + optimize Provider Quality Reputation Signals to ensure the metrics are fair, accurate, and improve buyer outcomes when utilized
Enhance the Network Quality Dashboard to track key metrics, balance clarity with depth, and generate actionable insights into the root causes of quality issues
Utilize data to influence the product roadmap and drive a measurable reduction in negative buyer outcomes
Conduct ad hoc analysis to identify opportunities and quantify the impact of initiatives across the Product organization
Establish a data-driven product development culture by defining, tracking, and operationalizing feature, product, and company-level metrics
Develop an experimentation program that enables measuring the success of new features through A/B testing