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Principal Data Scientist
Grindr. Develop and implement techniques and applications to transform raw data into meaningful information using data-oriented programming languages and visualization software .
Posted 10/9/2026full-timePalo Alto • California • United StatesLead💰 $245,000 - $265,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, machine learning, and statistical modeling, with a strong ability to communicate insights and recommendations to stakeholders. Proficient in developing automated workflows and tools to enhance productivity and data-driven decision-making.
Highest-signal resume keywords
Data AnalysisMachine LearningStatistical SoftwarePython ProgrammingSQL
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ManipulationStatistical ModelingA/B TestingData VisualizationModel ValidationData CleaningAutomated WorkflowsMachine Learning Model DevelopmentPerformance MetricsExperiment Design
Soft Skills
CommunicationMentoringCollaborationProblem SolvingStakeholder Engagement
Tools & Technologies
PandasTensorFlowPyTorchTableauStatsigSnowflake
Industry Keywords
Data ScienceOperations ResearchInformation EngineeringProduct AnalysisData-Driven Solutions
Tech Stack
Tools & technologiesPandasPythonPyTorchSQLTableauTensorflow
About the role
Key responsibilities & impact- Develop and implement techniques and applications to transform raw data into meaningful information using data-oriented programming languages and visualization software
- Design and evaluate experiments measuring the impact of product changes
- Analyze product data to uncover root causes of metric movements
- Test, validate, and reformulate models to accurately predict outcomes and interests
- Recommend data-driven solutions to stakeholders
- Communicate results to cross-functional stakeholders to inform product decisions
- Develop tools to scale and automate analyses and improve company productivity
- Deliver oral and written presentations of mathematical modeling and data analysis results to management and end users
- Mentor and guide team members
- Identify and recommend best practices for testing, validating, and reformulating models
- Analyze, manipulate, and process large datasets using statistical software
- Devise machine-learning solutions to improve recommendations, detect spam, and better serve Grindr users
- Clean and manipulate raw data and compare models using statistical performance metrics
Requirements
What you’ll need- Master’s degree or foreign equivalent in Operations Research and Information Engineering, Computer Science, or related field
- Two (2) years of post-baccalaureate experience as a Data Scientist or in a related position
- Experience analyzing, manipulating, and processing large sets of data using statistical software and programming languages Python and SQL
- Experience developing scalable automated data analysis workflows using Pandas
- Experience testing, validating, and reformulating machine learning models using TensorFlow and PyTorch
- Experience conducting and interpreting A/B testing using Statsig
- Experience presenting mathematical modeling and data analysis results using Tableau
- Experience working with Snowflake
Benefits
Comp & perks- Full premium health, dental, and vision coverage for employees; partial dependent coverage
- Up to $300,000 in fertility and family-building support, including IVF, surrogacy, egg freezing, and adoption
- 401(k) with 6% match and immediate vesting
- Company bonus
- Equity for every employee
- Gender-affirming care with up to 90% cost coverage
- Access to Included Health
- Monthly HRT stipends
- Flexible vacation policy
- Two company-wide rest weeks per year
- Monthly stipends for cell phone, internet, wellness, food, and commuting
- Breakfast/lunch