The ad says“Experience building visualizations with Tableau, Looker or similar BI platforms”
The ad says“Experience applying causal inference, predictive modeling or other advanced statistical methods in a business context”
The ad says“Experience applying statistics and experiment design in a business context”
The ad says“Experience in at least one data-oriented language like Python, R or Julia”
The ad says“Experience building visualizations with Tableau, Looker or similar BI platforms”
The ad says“Experience applying causal inference, predictive modeling or other advanced statistical methods in a business context”
The ad says“Experience in at least one data-oriented language like Python, R or Julia”
The ad says“Experience in at least one data-oriented language like Python, R or Julia”
The ad says“Strong SQL skills and comfort working with large datasets”
The ad says“Experience applying statistics and experiment design in a business context”
The ad says“Experience building visualizations with Tableau, Looker or similar BI platforms”
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
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
Preferred experience
Is curious about how users engage with a product, and what this might mean for what the business should build or prioritize next
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
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 self motivated and can unblock themselves when the perfect dataset isn’t readily available or the business question isn’t clearly articulated
Experience in at least one data-oriented language like Python, R or Julia
Experience building visualizations with Tableau, Looker or similar BI platforms
Strong SQL skills and comfort working with large datasets
Proficient in communicating insights to business partners
5+ years of experience in data science, product analytics, or similar functions
Bachelor’s degree in a quantitative or technical field (e.g., Statistics, Economics, Math, Computer Science, Engineering)
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 with another two-sided marketplace
Experience applying causal inference, predictive modeling or other advanced statistical methods in a business context
