BS or higher in a quantitative field (Computer Science, Statistics, Mathematics, etc.) or equivalent experience.
10+ years of data science industry experience with proven stakeholder influence.
Strong Python programming skills for data analysis, particularly with pandas and Jupyter Notebook.
Proficient in writing and optimizing complex SQL queries on large datasets.
Deep background in inferential statistics and experimentation (hypothesis testing, experimental design).
Familiarity with analytics and BI tools (Looker, Tableau, PowerBI, Snowflake).
Experience with big data technologies like Spark.
Responsibilities
Extract actionable insights from broad, open-ended questions.
Design and evaluate experiments to gauge product change impacts.
Influence and communicate findings to executives and cross-functional teams.
Analyze product data to identify root causes of metric fluctuations.
Guide the development of tools for automating analyses to enhance productivity.
Mentor team members and suggest best practices in data analysis.
Devise machine learning solutions to optimize product recommendations and spam detection.
Benefits
Full premium health, dental, and vision coverage for employees; partial for dependents.
Up to $200,000 in fertility and family-building support.
401(k) plan with a 6% match and immediate vesting benefits.
Industry-leading gender-affirming care offerings with substantial cost coverage.
Flexible vacation policy along with two company-wide rest weeks per year.
Monthly stipends for cell phone, internet, wellness, food, and commuting; plus breakfast/lunch.
Full Job Description
About the Job:
Extract actionable insights from broad, open-ended questions
Set strategy for designing and evaluating experiments to measure the impact of product changes
Influence and communicate results to executives and cross-functional stakeholders to inform product and company decisions
Analyze data from across the product to uncover the root causes of metric movements
Communicate results to cross-functional stakeholders to inform product decisions
Architect and guide development of 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
Shape the future state of our data products, 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
10+ years of industry data science experience, with a track record of influencing senior stakeholders and company-level outcomes
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 a location-based social networking and online dating application for gay, bi, trans, and queer people. The app was one of the first geosocial dating apps and was launched in 2009. Grindr is available in over 190 countries and has over 27 million users. The app is owned by San Vicente Acquisition LLC, a company based in West Hollywood, California. Grindr has faced criticism for its handling of user data and for facilitating the spread of sexually transmitted infections.
