Senior Data Scientist

The Role

We are looking for a senior data scientist to partner with our PED (Product, Engineering, Design) teams and our diverse business units to help them understand our users, our product performance and our marketplace as a whole. This role sits on our Analytics team and will report directly to the Head of Analytics.

The ideal candidate:

• Has a strong interest in using data to understand and address business and user problems
• Can manage a diverse set of stakeholders and drive cross-functional alignment on analytical priorities
• Is curious about how users engage with a product, and what this might mean for what the business should build or prioritize next
• Is self motivated and can unblock themselves when the perfect dataset isn’t readily available or the business question isn’t clearly articulated
• Dives deeply into ambiguous questions, and refines them into clear problem statements that address what the business really cares about or what really matters to our users

Responsibilities:

• Work closely with PED to set goals, understand how users are engaging with our product, and learn from experiments in our two-sided marketplace
• Develop measurement frameworks and institute new metrics or reporting systems to help us understand our marketplace and users
• Align cross-functional stakeholders on the priorities and analytical roadmap for critical areas of our business
• Design and analyze experiments
• Dive deep on user behavior and the dynamics of our marketplace
• Unpack business trends and diagnose drivers of business performance
• Collaborate with the rest of the Analytics and Data Engineering teams and the broader data community to grow and nurture data culture at Peerspace

Technical Environment:

• Databases: Google BigQuery
• Tooling: dbt Cloud, Airflow, Git
• BI Tool: Tableau, Statsig (for A/B testing)
• Languages: SQL, Python

Qualifications:

• 5+ years of experience in data science, product analytics, or similar functions
• Strong SQL skills and comfort working with large datasets
• Experience building visualizations with Tableau, Looker or similar BI platforms
• Proficient in communicating insights to business partners
• Ability to manage cross-functional stakeholders and prioritize an analytics roadmap in a dynamic environment with competing priorities
• Experience applying statistics and experiment design in a business context
• Experience in at least one data-oriented language like Python, R or Julia
• Bachelor's degree in a quantitative or technical field (e.g., Statistics, Economics, Math, Computer Science, Engineering)

Preferred Qualifications:

• Experience with another two-sided marketplace
• Experience applying causal inference, predictive modeling or other advanced statistical methods in a business context