Want to help everyday Americans invest and build wealth? Financial inequality is increasing, and too many people are getting left behind. At Stash, we are passionate about democratizing wealth creation through education, advice, and products that help customers achieve greater financial freedom.

Stash is looking for a Senior Data Scientist experienced with marketing and acquisition teams to build reliable, scalable, and performant data systems and software. 

This role will partner closely with Growth Marketing to drive data driven decision making using attribution modeling, incrementally testing, and LTV modeling to build the financial advisor of the future.

We look for strategic thinkers and creative problem solvers with a bias for execution. You can expect to contribute code as well as product/feature ideas from the get-go.  

If you are looking for a culture that encourages ownership, taking calculated risks, being data-driven and that values evidence over ego, we would love to hear from you! 

What you’ll do:

• Partner with Growth Marketing to drive data driven decision making using attribution modeling, incrementality testing, and LTV modeling
• Collaborate with Growth Marketing on channel/campaign experimentation and A/B testing; opportunity size, plan and analyze tests
• Build and maintain scalable data systems and infrastructure that empower our marketing, product and business teams to make better decisions
• Develop ETL pipelines that enhance source data to create more actionable insights
• Work with large datasets to help us better understand our customers and anticipate their needs through distributed computation techniques
• Make rigorous statistical inferences from A/B testing on our product and customer segments

Who we’re looking for:

• 4+ years of experience; most recently working with marketing and acquisition teams, evaluating full value of specific channels
• SQL proficiency, with an understanding of storing and querying data from Redshift, PostgreSQL, or similar database infrastructures
• 2+ years of professional programming work in Python, or similar
• Experience with Pandas, R, or other statistical modeling frameworks
• Comfort with distributed computing, specifically Pyspark, AWS EMR, and Airflow
• Knowledge of Looker or similar front end analytics platforms
• dbt, Data Engineering and ETL experience is a big plus!

At Stash it is our mission to help everyday Americans invest and build wealth. That includes people of all races,  genders, and abilities, so it is important to us to acknowledge and address the issues of inequality in financial services head on. 

Diversity and inclusion are essential to living our values, promoting innovation, and building the best products. Our success is directly related to our employees and we believe that our team should reflect the diversity of the customers that we serve.  As an Equal Opportunity Employer, Stash is committed to building an inclusive environment for people of all backgrounds.

If you require any reasonable accommodations to make your application process more accessible please reach out to recruiting@Stash.com. 

Invest in Yourself: 

• Equity & Stash Accounts [Invest, Retire, Custodial, Bank]                     
• Flexible PTO 
• Learning & Development Fund 
• Work from Home Stipends
• Parental Leave [Primary & Secondary]

Recognition:

• BuiltIn’s Best Places to Work (2019, 2020, 2021) 
• Forbes Fintech 50 (2019, 2020, 2021)
• Best Digital Bank, Finovate Awards (2020)
• Tearsheet Challenge Awards, Best Banking Card Product - Stock-Back® Card, 2020
• LendIt Fintech Innovator of the Year (2019 & 2020)

**No recruiters, please**