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

BS or higher in Computer Science, Statistics, Mathematics, Physics, a related quantitative field, or equivalent experience
7+ 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
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)
Experience with different data analytics and BI tools such as Looker, Tableau, PowerBI, or Snowflake
Experience in big data technologies like Spark

Health, Dental & Vision Full premium coverage for you. Partial coverage for dependents.
Family Formation Up to $200,000 in fertility and family-building support, covering IVF, surrogacy, egg freezing, and adoption.
Retirement: 401(k) with 6% match and immediate vesting.
Compensation: Industry-competitive compensation, company bonus, and equity for every employee.
Gender-Affirming Care : Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more.
Time Off & Rest Flexible vacation policy. Two company-wide rest weeks per year.
Other Benefits: Monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch

Staff Data Scientist

Key skills