G
Grindr
Principal Data Scientist
Skills
SQL QueriesTableauPythonData SciencepandasPyTorchTensorFlowSnowflakeData AnalysisMachine Learning
15 days ago
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Important information
Salary:
$245,000 – $265,000 / year
Location:
United States
Work mode:
Remote
Published on:
14 October 2026
What they need
Who you are
- Master’s degree or foreign equivalent in Operations Research and Information Engineering, Computer Science, or related field, plus two (2) years of post-baccalaureate experience as a Data Scientist or in a related position
- Experience must include analyzing, manipulating, and processing large sets of data using statistical software and programming languages Python and SQL
- Developing scalable automated data analysis workflows using Pandas; testing, validating, and reformulating machine learning models using TensorFlow and PyTorch; conducting and interpreting A/B testing using Statsig
- Presenting mathematical modeling and data analysis results using Tableau; and working with the data platform Snowflake
What the job involves
- As a Principal 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
- Develop and implement a set of techniques and applications to transform Grindr’s raw data into meaningful information using data-oriented programming languages and visualization software
- Design and evaluate experiments to measure the impact of Grindr’s product changes by analyzing data across the product to uncover root causes of metric movements
- Test, validate, and reformulate models to ensure accurate prediction of outcomes and interests
- Recommend data-driven solutions to key stakeholders. Communicate results to cross-functional stakeholders to inform them of product decisions, and develop tools to scale and automate analyses, and improve productivity across the company
- Deliver oral and written presentations of the results of mathematical modeling and data analysis to management or other end users
- Provide mentorship and guidance to team members and identify and recommend best practices to test, validate, and reformulate models and ensure accurate prediction of outcomes of interests
- Analyze, manipulate, or process large sets of data using statistical software
- Devise ML solutions to improve recommendations, detect spam, and better serve Grindr’s uses
- Clean and manipulate raw data using statistical software and compare models using statistical performance metrics, such as loss functions or proportion of explained variance
Benefits
- 100% employer-paid medical, dental, and vision premiums for employees
- 401k Matching (up to 6%)
- Flexible PTO, sick-time, holidays, and two company wide shut-down weeks + an annual travel and leisure stipend
- Equity for all employees
- Monthly lifestyle stipend for food and wellness as well as fully catered onsite breakfast, lunch, and snacks
- Community projects and charitable giving stipend to support LGBTQ+ non-profit organizations alongside Grindr for Equality
- Gender Affirmation Fund for transgender and gender non-conforming employees
- Queer-inclusive health benefits including LGBTQ consultative healthcare and expanded HRT shipped directly to employees in eligible states
- Monthly commuter stipend to get you to and from the office on in-person collaboration days
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