Senior Data Scientist

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

Working At Peerspace

The annual salary range for this role is $165,000 to $175,000. The actual salary amount will vary depending on the applicant’s experience, skills, and abilities as well as internal equity and market data.

Peerspace is proudly certified as a Great Place to Work™ and we're a remote first company with team members located in cities around the globe. Beyond competitive salary and equity compensation, we provide a range of benefits and perks, including:

●    100% employee coverage of medical, dental and vision insurance

●    Discount on all Peerspace bookings

●    Laptop, high res display, and stipend to setup home office

●    Monthly cell phone and internet credit

●    Annual In person all company offsite and team-building events (in Peerspace locations, of course)

●    Wellness Days observed company wide

Diversity

At Peerspace, we're dedicated to creating a team that's diverse, equitable and inclusive. Our workplace is a space where all team members are empowered to blaze their own trail, make things happen, and take pride in their work. We believe bringing people together from different backgrounds and identities makes us stronger and better serves the Peerspace community. We'd especially like to encourage applicants from different backgrounds, locations, and experiences.

At Peerspace, we are committed to maintaining a secure and transparent hiring experience. Please be aware that scammers sometimes impersonate companies like ours by posting fake job listings or reaching out to job seekers in misleading ways. All legitimate communication from Peerspace will come from an official @peerspace.com email address. We do not contact candidates through personal email accounts, third-party messaging apps such as WhatsApp or Microsoft Teams, or through the Peerspace platform's internal messaging system. All interviews are conducted only by phone or Zoom, and we will never ask for sensitive personal or financial information such as your Social Security number or bank details during the early stages of the hiring process. If you receive any message that seems suspicious or does not align with these practices, please contact us immediately at [email protected] so we can investigate. We only post our job openings and process applications, through our official careers page at https://jobs.lever.co/peerspace.