Data Scientist
United States
Stash
Invest and build wealth with Stash, the investing app helping over 6M Americans invest and save for the future. Start investing in stocks, ETFs and more today.Financial inequality is increasing and too many people are getting left behind. At Stash, we believe in the power of simplifying investing, making it easy and affordable for everyday Americans to build wealth and achieve their financial goals.
We’re one of the fastest growing fintechs in the U.S. and have had another record-breaking year. In 2021 we almost doubled our headcount and valuation. Our personal finance app makes investing easy and affordable; this year 6 million customers set aside more than $3 billion with Stash.
Prioritizing People is one of our core values and has been key to a healthy work-life balance and a great sense of fulfillment and inclusion. We employ a true people first - hybrid model. Live and work where you feel the most productive, whether that is in our home, in an office, or a combination of both.
Let’s solve complex problems and tackle wealth inequality.
Stash is looking for a generalist Data Scientist experienced with SQL and Python, to help teams make better decisions. This role will cover multiple squads across the business, including but not limited to: growth analytics, product analytics, customer service analytics, financial modeling and machine learning. Leveraging our data, you will be expected to query, construct pipelines, monitor and optimize systems that help drive customer and business success.
This role will partner closely with stakeholders working on key initiatives for Stash. It requires excellent communications skills and the ability to reduce complex problems to simple frameworks and solutions.
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. You will be challenged to build lasting, robust data products that continue to support stakeholders for years to come.
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 business, product, operations and marketing stakeholders to deliver data solutions contextually relevant to the team
- Collaborate with data scientists to evolve and maintain data products that stakeholders rely on each day
- 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!
#LI-JB1
#LI-REMOTE
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]
Invest in Yourself -UK:
- 25 days annual leave, group personal pension plan (3% employer contributions), and optional subsidized private medical care
- £1,000 Educational Stipend to invest in your career, growth, and development
- £350 Work-From-Home Stipend to set up your ergonomically-friendly remote workspace + £26 monthly Internet reimbursement
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**
Tags: A/B testing Airflow AWS Banking Engineering ETL Finance FinTech Looker Machine Learning Pandas Pipelines PostgreSQL PySpark Python R Redshift SQL Statistical modeling Testing
Perks/benefits: Career development Equity Flex hours Flex vacation Home office stipend Medical leave Parental leave
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