Data Scientist

Senior Data Scientist partnering with Product, Engineering, and Design teams to analyze user behavior, product performance, and marketplace dynamics. Responsibilities include developing metrics and reporting frameworks, designing experiments, diagnosing business trends, analyzing marketplace behavior, and aligning stakeholders on analytical priorities. The role uses SQL and Python alongside BigQuery, dbt Cloud, Airflow, Tableau, and Statsig, with a focus on product analytics, experimentation, and data-informed decision-making., 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

Technical Environment:

• Databases: Google BigQuery

• Tooling: dbt Cloud, Airflow, Git

• BI Tool: Tableau, Statsig (for A/B testing)

• Languages: SQL, Python, Artificial Intelligence * Healthtech * Machine Learning * Natural Language Processing * Biotech * Pharmaceutical Leads analytical methodology and evaluation for AI-based healthcare and pharmaceutical workflows. Owns model selection, cohort and HCP segmentation, agent decision logic, and evaluation frameworks. Partners with engineering, data architecture, and governance teams to productionize rigorous analytical methods, identify new data and techniques, communicate insights, and mentor data science and engineering colleagues. Top Skills: Agentic AiArtificial IntelligenceClaims DataElectronic Health Records (Ehr)HedisLarge Language ModelsMachine LearningOmop PatientPoint, Develop algorithmic pricing data products using machine learning, statistical modeling, optimization, and predictive analytics. Build interpretable pricing systems, deploy and monitor production models, analyze campaign and business data, communicate actionable insights to stakeholders, and mentor junior data scientists. Collaborate with engineering, product management, and pricing teams to deliver solutions for supply, demand, willingness-to-pay, and ROI optimization.

• 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, * 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

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, 2 Days Ago Remote or Hybrid 168K-297K Annually Senior level 168K-297K Annually Senior level eCommerce * Fintech * Hardware * Payments * Software * Financial Services The Senior Data Scientist will analyze product, customer, and risk data to improve Support and Risk Operations. Responsibilities include defining metrics, forecasting demand, modeling staffing and queue health, evaluating experiments and policies, monitoring risk models for bias and drift, and communicating decisions to product, engineering, and risk stakeholders. The role also leads technical standards, develops reusable analytical tooling, mentors data scientists, and uses AI tools and agent workflows to improve analytical quality and efficiency. Top Skills: Agent WorkflowsAi ToolsSQL

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

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.