Data Scientist (Vince Testing)

About The Company

Gem is the AI-powered recruiting platform that talent teams love. We help recruiters and hiring managers find exceptional talent and offer a seamless interview experience: from scheduling interviews, to sending out offers, forecasting expected hires and more.

Building exceptional teams is our bread and butter so it’s important to us to invest in our own people and culture. We are proud of the culture we’ve built and have recently been recognized as:

• Forbes America's Best Startup Employers, 2024
• Great Place to Work Certified, 2023
• Fortune Best Workplaces for Millennials, 2023

Gem has over 1200 customers ranging from startups to Fortune 100 companies. We raised $148M in funding from Accel, Greylock, ICONIQ, and more.

At Gem we help people find the best jobs and companies build great teams. Join us!

Data Scientist

San Francisco

Engineering

In office

Full-time

Gem is the only AI-first all-in-one recruiting platform. Over 1,000 industry leaders including Anthropic, Reddit, Figma, Zillow, Robinhood, and Doordash trust Gem to fuel their growth and recognize Gem as one of the highest-satisfaction products on G2 with a 4.8/5.0 rating. The company has raised $148M from renown investors including Accel, Greylock, ICONIQ, Sapphire, and Meritech.

Job Responsibilities

• Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
• Drive informed and timely decision-making that improves and optimizes the way our products are built, completed, and adopted'
• Collaborate with product managers, engineers, product marketers, and designers

Knowledge, Skill & Abilities

• Expertise using data modeling skills to identify key product trends and new product opportunities
• Ability to design implement, and track core metrics to analyze the performance of our products
• Ability to build visuals, dashboards, and reports to optimally communicate your insights
• Ability to collaborate with engineers, product managers, and other cross-functional teams
• Ability to initiate and drive projects to completion with minimal guidance
• An understanding of Snapchat with phenomenal product sense and product understanding

Minimum Qualifications

• BS/BA degree in a technical field such as statistics, mathematics, economics, computer science or equivalent years of experience
• 3+ years of experience in quantitative analysis & data science or a related field
• 3+ years of Experience using SQL or similar big data querying languages
• 3+ years of Experience with programming language, such as Python or R
• 3+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques

Preferred Qualifications

• Advanced degree in applied mathematics, statistics, actuarial science, economics or related field
• Experience in a product-focused role at a social media and/or mobile technology company
• Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research.

Benefits

• Highly competitive salary & equity
• 10-year window to exercise your stock options
• Supportive Flexible Time Off program
• 16 paid holidays, including regular company-wide wellness days
• Best-in-class medical, dental & vision insurance
• $1,200 annual stipend for learning and development opportunities
• 16 weeks of Paid Parental Leave for birthing and non-birthing parents
• New Parent Perks totaling $1,500 and flexibility upon return to work

Gem is an equal opportunity employer. We celebrate our inclusive work environment and encourage folks of all backgrounds and perspectives to apply. At Gem, we’re committed to having an inclusive and transparent environment where every voice is heard and acknowledged. We embrace our differences, and know that our diverse team is a strength that drives our success.

Gem is committed to developing a barrier-free recruitment process and work environment. If you require any accommodation, please email us at accommodations@gem.com and we’ll work with you to meet your accessibility needs.

Gem’s Candidate Privacy Notice

By clicking “Submit Application”, you acknowledge and agree that you have read and understand Gem’s Candidate Privacy Statement, including the information provided on how Gem processes your personal data and your related rights as set forth therein.