Staff Data Scientist

Grindr; United States; On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

100% employer-paid health premiums

401k matching

Flexible PTO

Equity for all employees

Onsite meals

Commuter stipend

Diversity and inclusion

Job summary

Grindr is seeking a Staff Data Scientist to partner with product managers, designers, and engineers to craft metrics, run experiments, and drive data-driven decisions that grow our platform.

You'll build models deployed to production, mentor teammates, and shape ML solutions to improve recommendations, detect spam, and better serve our 14M+ monthly users worldwide. You will own end-to-end analyses and present insights to senior leadership.

Qualifications

• BS or higher in Computer Science, Statistics, Mathematics or related field.
• Strong Python and SQL skills with production data experience.
• Expertise in designing experiments and statistical analysis.

Responsibilities

• Extract actionable insights from broad, open-ended questions.
• Design and evaluate experiments to measure product changes.
• Analyze data across the product to uncover root causes of metric movements.
• Communicate results to cross-functional stakeholders to guide decisions.
• Develop tools to scale analyses and improve productivity.
• Provide mentorship and establish best practices within the team.

Skills

Python

Pandas

SQL

Experimentation

Statistics

BI Tools

Spark

Communication

Cross-functional

Education

BS in CS/Stats/Math

Tools

Looker

Tableau

Power BI

Snowflake

Spark

SQL

Job description

• Grindr (NYSE: GRND) is the largest LGBTQ+ Social App in the world, used by over 14M+ monthly users in nearly every country in the world. We are a fundamental part of the global LGBTQ+ community and are a pillar in gay culture
• As a Staff 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
• 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
• Apply an engineering mindset: minimize complexity while maximizing utility & maintainability
• Be part of building our future state, devising ML solutions to improve recommendations, detect spam, and better serve our users

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
• Gender Affiliation 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
• Community projects and charitable giving stipend to support LGBTQ+ non-profit organizations alongside Grindr for Equality

• Strong Python skills in data analysis using pandas and Jupyter Notebook
• A strong background in inferential statistics, especially in an experimentation setting (hypothesis testing, power analysis, experimental design)
• Experience with different data analytics and BI tools such as Looker, Tableau, PowerBI, or Snowflake
• A deep understanding of the “why” behind your work, not just the how7+ years of industry data science experience
• Experience in big data technologies like Spark
• Experience writing and optimizing complex SQL queries on large data sets
• BS or higher in Computer Science, Statistics, Mathematics, Physics, a related quantitative field, or equivalent experience
• Experience effectively communicating & collaborating with non-technical stakeholders
• A machine learning background with an understanding of when ML is the right tool and the subtle science of creating models that function well in the real world would be a nice to have
• You have excellent communication, presentation, and documentation skills with the ability to define and communicate the “big picture” to key stakeholders at various levels and technical understanding
• Experience with Statsig would be nice-to-have