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Staff Data Scientist

Grindr

full-remoteleadpermanentdata Full remote 134 days ago via WTTJ

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Tags

Data SciencePythonApache SparkSQLInferential StatisticsExperimentationA/B TestingPower AnalysisLookerStatsig

About the role

Role Overview

Join Grindr as a Staff Data Scientist (full remote). You will partner with product managers, designers, and engineers to develop meaningful metrics, run experiments, and translate analysis into product growth insights.

Key Missions

  • Collaborate with product leaders and engineering teams to design insightful metrics and execute experiments.
  • Extract actionable insights from broad, open-ended questions.
  • Design and evaluate experiments to measure the impact of product changes.
  • Develop tools/automation to streamline analyses, improve team productivity, and provide guidance across the data science team.

Requirements

  • 7+ years of industry data science experience.
  • Experience with big data technologies, including Spark.
  • Strong Python skills for data analysis using pandas and Jupyter Notebook.
  • Ability to explain the “why” behind work (not just implementation details).
  • Experience with data analytics and BI tools such as Looker, Tableau, Power BI, or Snowflake.
  • BS (or higher) in a quantitative field (Computer Science, Statistics, Mathematics, Physics) or equivalent experience.
  • Proven experience writing and optimizing complex SQL on large datasets.
  • Strong background in inferential statistics, especially experimentation (e.g., hypothesis testing, power analysis, experimental design).
  • Skilled at communicating and collaborating with non-technical stakeholders.
  • Excellent communication, presentation, and documentation skills; can define and communicate the big picture to stakeholders.

Nice-to-haves

  • Background in machine learning, including knowing when ML is appropriate and how to build models that work reliably in the real world.
  • Experience with Statsig.

About Grindr

Grindr is the largest LGBTQ+ social app in the world. The company leverages data science and analytics to understand user behavior, improve products, and drive growth across its user base.

Scraped 5/12/2026