Job description

About the Team: 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 Staff Data Scientist at Grindr, you will be working closely with product managers, product designers, and engineers to devise insightful metrics that guide development, design and execute novel experiments, present a data-driven viewpoint to guide key decisions, and find new avenues to drive growth through deep dive analysis. You will have the opportunity to work on models that are deployed to production and improve quality of life for our millions of users. You will also be an informal ambassador for the Data Science team to the rest of the organization, educating a diverse group on the many subtle aspects of utilizing data well. You will be a member of the data organization at Grindr, which integrates data scientists, data engineers, and ML/AI engineers into a single cohesive and collaborative team. This is a rare opportunity to learn, teach, and have an outsized impact alongside some of the top minds in the field. 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, Los Angeles, or Chicago offices and will require you to be in office Tuesdays and Thursdays. About the Job: - Extract actionable insights from broad, open-ended questions - Design and evaluate experiments to measure the impact of product changes - Analyze data from across the product to uncover the root causes of metric movements - Communicate results to cross-functional stakeholders to inform product decisions - Develop tools to scale and automate analyses, improving productivity across the company - Provide mentorship and guidance to team members + identify and recommend best practices - Apply an engineering mindset: minimize complexity while maximizing utility & maintainability - Be part of building our future state, devising ML solutions to improve recommendations, detect spam, and better serve our users Role Requirements: - BS or higher in Computer Science, Statistics, Mathematics, Physics, a related quantitative field, or equivalent experience - 7+ years of industry data science experience - Experience effectively communicating & collaborating with non-technical stakeholders - A deep understanding of the “why” behind your work, not just the how - Strong Python skills in data analysis using pandas and Jupyter Notebook - Experience writing and optimizing complex SQL queries on large data sets - A strong background in inferential statistics, especially in an experimentation setting (hypothesis testing, power analysis, experimental design) - Experience with different data analytics and BI tools such as Looker, Tableau, PowerBI, or Snowflake - Experience in big data technologies like Spark You May Thrive in this Role if You: - A machine learning background with an understanding of when ML is the right tool and the subtle science of creating models that function well in the real world would be a nice to have - You have excellent communication, presentation, and documentation skills with the ability to define and communicate the “big picture” to key stakeholders at various levels and technical understanding - Experience with Statsig would be nice-to-have Benefits and Perks: - Health, Dental & Vision Full premium coverage for you. Partial coverage for dependents. - Family Formation Up to $300,000 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 About Grindr: Grindr is building the Global Gayborhood in your Pocket. With more than 15 million monthly active users, Grindr has become a fundamental part of the gay community and is charting a path to make the world more free, equal, and just. As a public company, we're moving into the next chapter: becoming an AI-native organization that's redefining what's possible for our community. We're embedding AI into our product and operations, moving with startup speed while operating at scale. Everything we do is rooted in impact for our users and outcomes for the business. This isn't social work, it’s impact through excellence. Business success is what gives us the power to serve our community and the seat at tables others can't reach. How we work is defined by Grindr Mode, our operating model that's moderately hardcore day-to-day and truly hardcore when it counts. We think like owners, drive real outcomes, create clarity through action, and push each other to go further than we thought possible. We’re headquartered in West Hollywood with offices in the Bay Area, Chicago, and New York. Our work extends beyond the product through Grindr for Equality, our social impact initiative that's partnered with 100+ community organizations globally to advance safety, health, and human rights for LGBTQ+ people worldwide. We're profitable, growing, and building a team of smart, driven people who bring different backgrounds, experiences, and perspectives to the work. Want to build technology at a massive scale that serves millions? Come join us! Grindr is an equal-opportunity employer. To learn more about how we handle the personal data of applicants, visit our Employee and Candidate Privacy Policy grindr.com.

Requirements

Must-haves

This is a hybrid role based in our Bay Area, Los Angeles, or Chicago offices and will require you to be in office Tuesdays and Thursdays.
Extract actionable insights from broad, open-ended questions
Design and evaluate experiments to measure the impact of product changes
Analyze data from across the product to uncover the root causes of metric movements
Communicate results to cross-functional stakeholders to inform product decisions
Develop tools to scale and automate analyses, improving productivity across the company
Provide mentorship and guidance to team members + identify and recommend best practices
Apply an engineering mindset: minimize complexity while maximizing utility & maintainability
Be part of building our future state, devising ML solutions to improve recommendations, detect spam, and better serve our users
BS or higher in Computer Science, Statistics, Mathematics, Physics, a related quantitative field, or equivalent experience
7+ years of industry data science experience
Experience effectively communicating & collaborating with non-technical stakeholders
A deep understanding of the “why” behind your work, not just the how
Strong Python skills in data analysis using pandas and Jupyter Notebook
Experience writing and optimizing complex SQL queries on large data sets
A strong background in inferential statistics, especially in an experimentation setting (hypothesis testing, power analysis, experimental design)
Experience with different data analytics and BI tools such as Looker, Tableau, PowerBI, or Snowflake
Experience in big data technologies like Spark
You May Thrive in this Role if You:
You have excellent communication, presentation, and documentation skills with the ability to define and communicate the “big picture” to key stakeholders at various levels and technical understanding

Nice-to-haves

A machine learning background with an understanding of when ML is the right tool and the subtle science of creating models that function well in the real world would be a nice to have
Experience with Statsig would be nice-to-have

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

airestmlpythonsqlmachine learninggo

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Wellness