Grindr%20Llc

Senior Staff Data Scientist

Palo Alto, California, United StatesFull timeStaff$210,000 - $270,000 / yearPosted 13 days ago
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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 Senior Staff Data Scientist at Grindr, you will lead cross-functional collaboration with product managers, product designers, and engineers to devise insightful metrics that guide development, shape and oversee novel experiments, present a data-driven viewpoint to guide key decisions, and identify and drive new strategic avenues for 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 offices and will require you to be in office Tuesdays and Thursdays.

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 met...