Senior Data Scientist

Grindr • Palo Alto, CA

19h • Hybrid

About The Position

Grindr is an AI-native platform powering how millions of gay people connect globally. With 15M+ monthly users, 130B+ annual messages, and a team of fewer than 200, we move fast, stay lean, and tackle technical problems at a scale few companies ever see. As a Senior Data Scientist (Ecosystem Health) at Grindr, you’ll partner closely with product managers, designers, and engineers to define meaningful metrics, design and analyze experiments, and uncover insights that inform product development for the Ecosystem Health initiatives. Our Ecosystem Health Team focuses on increasing real-people retention by building a safer, more authentic community through proactive harm prevention, strong identity trust, and empowering users to own their safety experience, while seamlessly meeting evolving regulatory expectations. This is a high-impact role at the intersection of AI/ML, fraud prevention, risk management, and trust & safety, driving strategies and product innovation that ensure authenticity, reduce harmful behavior, and build user confidence worldwide. This role is ideal for someone who is technically strong, curious, and eager to deepen their product thinking and analytical leadership. You’ll be a valued member of Grindr’s centralized Data organization, which brings together data scientists, data engineers, and ML/AI engineers into a collaborative team. You’ll have the opportunity to grow your impact while learning from peers across disciplines. At Grindr, we operate in Grindr Mode. Moderately hardcore day to day, truly hardcore when it counts. It’s about doing great work without burning out. Outcomes over outputs. Smart, driven people who raise your bar, with room to live full lives. This is a hybrid role based in our Bay Area or Chicago offices and will require you to be in office Tuesdays and Thursdays.

Requirements

• BS or higher in Computer Science, Statistics, Mathematics, Physics, a related quantitative field, or equivalent experience
• 4+ years of industry data science experience, specifically in Trust & Safety or similar work
• Strong communication skills and comfort working with cross-functional partners
• Proficiency in Python for data analysis (e.g., pandas, Jupyter)
• Strong SQL skills and experience working with large-scale data
• Solid foundation in statistics and experimental design
• Familiarity with BI tools like Looker, Tableau, or PowerBI

Nice To Haves

• Exposure to machine learning, especially practical tradeoffs in product settings
• Experience with experimentation platforms like Statsig
• Clear communication style and interest in mentoring peers or sharing best practices

Responsibilities

• Define and track key product metrics in collaboration with cross-functional partners
• Design, run, and analyze A/B tests to evaluate the impact of new features
• Perform data deep dives to explain trends and uncover actionable insights
• Communicate findings clearly to stakeholders and influence product decisions
• Build dashboards and tools to help teams monitor metrics and make data-informed decisions
• Contribute to the development of best practices within the Data Science team
• Explore and prototype ML applications to improve product quality (e.g., recommendations, spam detection)

Benefits

• Health, Dental & Vision Full premium coverage for you. Partial coverage for dependents.
• Family Formation Up to $200,000 in fertility and family-building support, covering IVF, surrogacy, egg freezing, and adoption.
• Retirement: 401(k) with 6% match and immediate vesting.
• Compensation: Industry-competitive compensation, company bonus, and equity for every employee.
• Gender-Affirming Care : Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more.
• Time Off & Rest Flexible vacation policy. Two company-wide rest weeks per year.
• Other Benefits: Monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 11-50 employees