Senior Staff Data Scientist

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This range is provided by Grindr. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$210,000.00 / yr - $270,000.00 / yr

This is a hybrid role based in our Bay Area offices and will require you to be in office Tuesdays and Thursdays.

What’s so interesting about this role?

Grindr (NYSE : GRND) is the largest LGBTQ+ Social App in the world, used by over 14M+ monthly users in nearly every country in the world. We are a fundamental part of the global LGBTQ+ community and are a pillar in gay culture.

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.

Responsibilities

• 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

Requirements

Nice to Have

What You'll Love About Us

Grindr is an equal-opportunity employer.

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