Job Description

***Demo Job Post***

About GemGem 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 1,000 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 industry’s most beloved solution, with a 4.8/5 rating on G2.

About the RoleAs 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 OAI’s 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.