Senior Data Scientist

Peerspace

Senior Data Scientist partnering with product teams to analyze users, experiments, and marketplace performance. Building metrics and insights for Peerspace’s online venue-rental marketplace.

Posted 9/10/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $165,000 - $175,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science and product analytics, with strong capabilities in SQL, data visualization, and statistical analysis. Proficient in managing cross-functional stakeholders and prioritizing analytics roadmaps in dynamic environments.

Highest-signal resume keywords

Data ScienceProduct AnalyticsSQLData VisualizationStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceProduct AnalyticsSQLStatisticsExperiment DesignPythonRJuliaData VisualizationCausal Inference

Soft Skills

CommunicationStakeholder ManagementPrioritization

Tools & Technologies

TableauLookerBusiness Intelligence Platforms

Industry Keywords

Two-Sided MarketplaceBusiness PerformanceUser BehaviorMarketplace Dynamics

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Partner with Product, Engineering, and Design teams and business units to understand users, product performance, and the marketplace
Work closely with PED to set goals, understand product engagement, and learn from experiments in the two-sided marketplace
Develop measurement frameworks and establish new metrics or reporting systems
Align cross-functional stakeholders on priorities and the analytical roadmap
Design and analyze experiments
Analyze user behavior and marketplace dynamics
Investigate business trends and diagnose drivers of business performance
Collaborate with Analytics, Data Engineering, and the broader data community to grow data culture
Report directly to the Head of Analytics

Requirements

What you’ll need

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

Benefits

Comp & perks

Competitive salary
Equity compensation
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
Wellness Days observed company wide