As a Staff Data Scientist at Grindr, you will be working closely with product managers, product designers, and engineers to devise insightful metrics, design experiments, apply your statistical expertise to guide key decisions, and build visualizations. 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 unintuitive aspects of data science.
You will be a member of the data organization at Grindr, which integrates data scientists, analysts, and 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.
What’s 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
- Devise ML solutions to improve recommendations, detect spam, and better serve our users
- Apply an engineering mindset: minimize complexity while maximizing utility & maintainability
What we’ll love about you
- BS or higher in Computer Science, Statistics, Mathematics, Physics, a related quantitative field, or equivalent experience
- 8+ 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
- Expertise in software engineering best practices: git, modular design, DRY, etc...
- 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)
- A strong machine learning background with a deep understanding of when ML is the right tool and the subtle science of creating models that function well in the real world
- Experience in big data technologies like Spark
Location: San Francisco Bay Area
What you'll love about us
- Mission and Impact: Your role will impact the lives of millions of LGBTQ+ people around the world. Through our success, we are making a world where the lives of our community are free, equal, and just.
- Family Insurance: Insurance premium coverage for health, dental, and vision for you and partial coverage for your dependents.
- Retirement Savings: Generous 401K plan with 6% match and immediate vest in the U.S.
- Compensation: Industry-competitive compensation and eligibility for company bonus and equity programs.
- Queer‑Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more.
- Additional Benefits: Flexible vacation policy, monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch provided onsite, and yearly travel & leisure stipend.
Grindr is an equal‑opportunity employer
Grindr is committed to fair and equitable compensation practices. This base pay range is for the U.S. and is not applicable to locations outside of the U.S. The actual base pay is dependent upon many factors, such as training, transferable skills, work experience, business needs, location, and market demands. The base pay range is subject to change and may be modified in the future. This role will also be eligible for equity, benefits, and a company bonus program.
Base Pay Range
$195,000—$250,000 USD
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