Data Scientist

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.

• 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

• 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

• 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.
• R…