Senior Data Scientist
Confirmed live in the last 24 hours
Grindr

201-500 employees

Global location-based social networking app for LGBTQ+ community
Company Overview
Grindr, the world's largest social networking app for the LGBTQ community, stands out for its commitment to connecting queer individuals globally through its location-based technology, reaching millions of users in nearly every country. The company's culture fosters a safe and inclusive environment, reflecting the diverse community it serves, while its industry leadership is demonstrated by its continuous expansion into new platforms and content. Furthermore, Grindr's competitive advantage lies in its accessibility, with services available on any device without the need for download, exclusively for XTRA and Unlimited subscribers.

Company Stage

IPO

Total Funding

$293M

Founded

2009

Headquarters

West Hollywood, California

Growth & Insights
Headcount

6 month growth

-21%

1 year growth

-19%

2 year growth

8%
Locations
San Francisco, CA, USA • Los Angeles, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
Data Analysis
Data Science
Jupyter
Git
Pandas
SQL
Python
CategoriesNew
AI & Machine Learning
Data & Analytics
Requirements
  • BS or higher in Computer Science, Statistics, Mathematics, Physics, a related quantitative field, or equivalent experience
  • 4+ years of industry data science experience
  • Experience effectively communicating & collaborating with non-technical stakeholders
  • A deep understanding of the “why” behind your work, not just the how
  • Strong Python skills in data analysis using pandas and Jupyter Notebook
  • Expertise in software engineering best practices: git, modular design, DRY, etc
  • Experience writing and optimizing complex SQL queries on large data sets
  • A strong background in inferential statistics, especially in an experimentation setting (hypothesis testing, power analysis, experimental design)
  • A strong machine learning background with a deep understanding of when ML is the right tool and the subtle science of creating models that function well in the real world
  • Experience in big data technologies like Spark
Responsibilities
  • Extract actionable insights from broad, open-ended questions
  • Design and evaluate experiments to measure the impact of product changes
  • Analyze data from across the product to uncover the root causes of metric movements
  • Communicate results to cross-functional stakeholders to inform product decisions
  • Develop tools to scale and automate analyses, improving productivity across the company
  • Provide mentorship and guidance to team members + identify and recommend best practices
  • Devise ML solutions to improve recommendations, detect spam, and better serve our users
  • Apply an engineering mindset: minimize complexity while maximizing utility & maintainability