Senior Data Scientist

Company shown to members 🔒 · Remote · US only

US only5+ years required$165K–175K/yrPublished 10 September 2026Looks fresh

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First recorded by Psst: 9 November 2026. Your first 3 jobs are free to apply to (the first right away, 2 more with your email). After that, the company and the apply link are for Psst members, from $4.99 for 7 days.

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The 20-second read

Experience
5+ years required
Where you can live
US only
Skills and tools
zoom, sql, python, tableau, looker, a/b testing
Degree or licence
Mentioned (bachelor's)
Job type
Full-time

Read from the ad by Psst's rules. Check the full ad below before applying.

Job details

Where you can work
United States
Employment type
Full-time
Advertised pay
$165K–175K/yr
Experience
5+ years required
Employer publication date
10 September 2026
First recorded by Psst
9 November 2026
Last checked at the source
10 November 2026

About the job

SENIOR DATA SCIENTIST

------------------------

The company 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 the company.  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 the company

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 the company

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.

The company 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 the company 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 the company locations, of course)
  • Wellness Days observed company wide

Diversity

At the company, 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 the company community. We'd especially like to encourage applicants from different backgrounds, locations, and experiences.

At the company, 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 the company will come from an official @the company.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 the company 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 [link for members] so we can investigate. We only post our job openings and process applications, through our official careers page at [link for members]

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