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Data Scientist

Gem

Job Location:

San Francisco, CA - USA

Monthly Salary: Not provided by the employer

Posted: 4 September 2026 (9 hours ago)

Application Deadline: 2 December 2026

Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

***Demo Job Post***

About Gem

Gem is the AI-powered recruiting platform TA teams love. It helps you maximize productivity hire faster and save money all while giving recruiters a solution they find easy to use. Use Gem as your all-in-one recruiting platform or enhance your existing ATS with integrated products for CRM sourcing scheduling analytics career sites events and more. Over 1000 companies from startups to industry leaders like Airbnb Wayfair Cintas Carmax Doordash and Zillow trust Gem to hire with speed and ease. See why Gem is the recruiting industrys most beloved solution with a 4.8/5 rating on G2.

About the Role

As an early member of our Data Scientist team within the Go-To-Market (GTM) organization you will help build a data-driven culture around insight generation decision making and strategy at Gem. You should expect to work on a wide range of projects like defining north-star metrics designing tests estimating the incrementality of marketing and sales and establishing source-of-truth dashboards that the GTM team can use to answer their own questions. Most importantly you should expect to be a core member of the GTM team helping to bring our technology to a wide range of customers and supporting our self serve and sales led motions.

This role is based in San Francisco CA. We use a hybrid work model of 3 days in the office per week.

In this role you will:

Embed with the GTM team as a trusted partner uncovering new ways to improve the business and drive growth
Manage cross-functional data science projects about revenue pricing usage and other topics core to the business.
Establish a data-driven culture by driving the definition tracking and operationalizing of metrics
Become an expert in OAIs data and systems. Through partnership with Data Eng Finance and other business teams you should be able to self-serve all the underlying data for our business and derive insights from them.
Develop and socialize dashboards reports and other ways of enabling the team and company to answer product data questions in a self-serve way
Partner with other data scientists across the company to share knowledge and continually synthesizing learnings across the organization

Qualifications

Over 6 years of experience in Data Science roles within dynamic outcome-driven organizations.
Expertise in statistics and causal inference applied in both experimentation and observational causal inference studies.
Proficient in quantitative programming languages such as Python and R.
Highly skilled in SQL with extensive experience extracting large datasets and designing ETL workflows.
Experienced in using business intelligence tools such as Mode Tableau and Looker.
Strategic and impact-driven mindset capable of translating complex business problems into actionable frameworks.
Effective at building relationships with diverse stakeholders and cultivating strong partnerships.
Strong communicator able to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact.
Adept at crafting clear data stories using decks memos and dashboards to drive decision-making at every level.
Best-in-class attention to detail and unwavering commitment to accuracy.
Proven track record in solving problems within Finance Sales Support or other GTM areas.