Senior Staff Data Scientist — Growth & Experimentation Champion

Grindr; Palo Alto, San Francisco (CA, CA); Hybrid; USD 200,000 - 260,000; Full time

Benefits offered by this job

Health, Dental & Vision

Family formation support

401(k) with match

Equity

Flexible vacation & rest weeks

Stipends for meals, commuting, misc.

Job summary

Grindr is seeking a Senior Staff Data Scientist to lead cross‑functional collaboration, devise insightful metrics, design experiments, and guide data-driven decisions. You will work on production‑level models and mentor team members in a fast‑paced, AI‑native environment.

The role is hybrid and based in the Bay Area, with in‑office Tuesdays and Thursdays, contributing to growth through advanced analytics and ML solutions for millions of users.

Qualifications

• BS or higher in Computer Science, Statistics, Mathematics, Physics, or related field.
• 10+ years of industry data science experience influencing senior stakeholders.
• Strong communication with non-technical stakeholders.
• Experience with Python data analysis (pandas, Jupyter).
• Experience writing and optimizing SQL on large data sets.
• Background in inferential statistics and experimental design.

Responsibilities

• Extract actionable insights from broad questions and set strategy for experiments.
• Influence executives and cross‑functional stakeholders with results.
• Analyze data across product to identify root causes of metric movements.
• Architect tools to scale analyses and improve productivity.
• Provide mentorship and establish best practices within the team.

Skills

Python

SQL

Statistics

Stakeholder comms

Education

BS or higher in CS/Math/Stats/Physics

Tools

Looker

Tableau

PowerBI

Snowflake

Spark

Job description

Grindr is seeking a Senior Staff Data Scientist to lead cross‑functional collaboration, devise insightful metrics, design experiments, and guide data-driven decisions. You will work on production‑level models and mentor team members in a fast‑paced, AI‑native environment.

The role is hybrid and based in the Bay Area, with in‑office Tuesdays and Thursdays, contributing to growth through advanced analytics and ML solutions for millions of users.