Data Scientist
Houzz
HadoopPythonSQLTableau
Job Level
Mid-LevelSenior
Tech Stack
HadoopPythonSparkSQL
About the role
- Lead and inspire a high performing team of data analysts, acting as a player-coach to develop expertise in Stripe’s business and GTM data
- Build and deliver data products, dashboards, and analyses to partners across Sales and GTM Operations
- Collaborate with stakeholders across Sales, Marketing, and Finance to develop and execute a robust analytics roadmap
- Partner with the GTM Analytics Manager to create long-term strategy to evolve GTM analytics tools and data products
- Encourage a culture of experimentation and innovation in data analytics practices
- Develop processes and norms that provide structure and elevate the GTM Analytics team’s work
- Act as a thought leader in data analysis, manipulation, visualization, and storytelling
- Drive revenue growth and operational efficiency through data-informed strategies
Requirements
- Based outside of the Greater NYC, SF, or SEA metro areas
- At least 3 years of people management experience leading teams of 5 or more data analysts, as well as 5+ years of data analytics experience
- Experience building a team, defining its mission, and executing on its goals
- Bachelor’s degree in Statistics, Economics, Mathematics, Engineering, Sciences or a related quantitative field
- Proficiency in SQL
- Experience building and maintaining data pipelines using a distributed data framework (e.g. Hadoop, Spark)
- Experience building self-serve dashboards or other scalable analytical tools for partner teams
- Strong knowledge of statistics
- Expertise in data storytelling and visualization, using data-driven insights to deliver actionable recommendations and drive business goals
- Demonstrated experience of and interest in the public discussion of economic trends (whether as a data scientist, writer, researcher, or in another capacity)
- Demonstrated ability to lead and deliver on multiple projects with a high attention to detail
- Outstanding written and verbal communication skills
- Preferred: Master’s degree in Statistics, Economics, Mathematics, Engineering, Sciences or a related quantitative field and/or experience in working on data analytics in the tech field
- Preferred: Proficiency in Python
