[All remote jobs](https://jobicy.com/jobs.md)[![Peerspace logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/11/423c8cd867be08cf39987fcd193debe6.png)](https://jobicy.com/company/peerspace.md)[Peerspace](https://jobicy.com/company/peerspace.md) # Senior Data Scientist Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/peerspace.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 165k–175k / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceSeniorPublished2 Oct 2026Apply before1 Nov 2026Listing views29Application actions3Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. Peerspace is hiring a Senior Data Scientist to support Product, Engineering, Design, and business teams with product and marketplace analytics. The role focuses on measuring user behavior, diagnosing business performance, developing metrics, and designing and analyzing experiments for a two-sided marketplace. It requires strong SQL, Python or another data language, statistical experimentation expertise, and BI visualization experience. The scientist will own ambiguous analytical problems, align stakeholders on priorities, and help strengthen the company’s data culture. The position reports to the Head of Analytics and uses BigQuery, dbt Cloud, Airflow, Tableau, Statsig, Git, SQL, and Python. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 4/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior, highly cross-functional analytics role requiring deep technical judgment alongside stakeholder management in a dynamic marketplace environment. Success depends on independently framing ambiguous questions, applying rigorous experimental methods, and translating findings into product and business decisions. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$170,000US market range$150k–$195k0$215k AI insightThe disclosed annual base salary range is $165,000–$175,000 USD, with a midpoint of $170,000. This is competitive for a US-based senior product or marketplace data scientist; an estimated broader US market range for comparable roles is $150,000–$195,000 annually, varying by location, company stage, and depth of experimentation or causal-inference expertise. ## Core skills Skills and capabilities most closely associated with this opportunity. [SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Product Analytics](https://jobicy.com/jobs?search_keywords=Product%20Analytics.md)[A/B Testing](https://jobicy.com/jobs?search_keywords=AB%20Testing.md)[Experiment Design](https://jobicy.com/jobs?search_keywords=Experiment%20Design.md)[Statistical Analysis](https://jobicy.com/jobs?search_keywords=Statistical%20Analysis.md)[Causal Inference](https://jobicy.com/jobs?search_keywords=Causal%20Inference.md)[BigQuery](https://jobicy.com/jobs?search_keywords=BigQuery.md)[Tableau](https://jobicy.com/jobs?search_keywords=Tableau.md)[Stakeholder Management](https://jobicy.com/jobs?search_keywords=Stakeholder%20Management.md) Sample interview questionsHow would you evaluate whether a new search-ranking feature improves the Peerspace marketplace?I would first define the feature's intended outcome and guardrail metrics, such as booking conversion, search-to-inquiry rate, cancellation rate, and host-side effects. I would run a randomized controlled experiment where feasible, validate assignment and data quality, estimate treatment effects with confidence intervals, and segment results by user and market characteristics. I would then recommend rollout, iteration, or rollback based on practical impact as well as statistical significance. Describe how you would approach an ambiguous request to understand why bookings have declined. I would clarify the decision the stakeholders need to make, define the affected population and time period, and validate that the decline is not caused by tracking or reporting changes. I would decompose bookings into funnel components such as traffic, search engagement, inquiries, conversion, supply availability, and cancellations. I would then identify meaningful segments and drivers, quantify their contribution, and present prioritized hypotheses and next actions. What metrics would you establish for a two-sided venue-rental marketplace? I would use a balanced metric framework covering demand, supply, and marketplace health. Demand metrics could include qualified search sessions, inquiry rate, booking conversion, repeat booking, and guest satisfaction; supply metrics could include active venues, availability, response time, and host retention. Marketplace metrics would include liquidity, match quality, cancellation rates, take rate, and geographic or category-level balance. How do you communicate a complex statistical result to nontechnical partners? I start with the business question, the decision it informs, and the magnitude of the expected impact rather than leading with methodology. I use clear visuals and plain language to explain the result, uncertainty, assumptions, and limitations. I also provide a concise recommendation, alternatives considered, and the next measurement step so stakeholders can act confidently. Tell us about a time you had to deliver analysis when the ideal dataset was unavailable. I would explain how I clarified the underlying decision, audited available sources, and documented gaps in the data. I would build a defensible interim approach using validated proxies, sensitivity checks, and transparent assumptions while partnering with data engineering to improve the long-term dataset. I would clearly distinguish directional findings from causal conclusions and propose instrumentation needed for future decisions. Opportunity details ## About this role. SENIOR DATA SCIENTIST ———————— ### Peerspace is the leading and category defining online marketplace for venue rentals for meetings, productions, and events. We open doors to the most inspiring spaces around the world, from lofts and mansions to storefronts and studios. Over $500M has been transacted through the platform, and our investors include GV (Google Ventures) and Foundation Capital. ### Our people are the heart of Peerspace. We are a team that values inclusion and working cross functionally. Our strategy and objectives are clear and we support one another to exceed expectations. We believe that a healthy company culture creates an environment where people are excited to come into work everyday and contribute to building a successful organization. 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 help@peerspace.com so we can investigate. We only post our job openings and process applications, through our official careers page at[https://jobs.lever.co/peerspace](https://jobs.lever.co/peerspace). ### Compensation ### Additional Information Show more [Apply now >](https://jobicy.com/jobs/154421-senior-data-scientist-6.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. 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