Machine Learning Engineer, Modeling

US Based Remote

Stash logo

Stash

Get started on Stash, the personal finance app that simplifies investing in thousands of well-known companies with fractional shares.

View all employer listings

Apply now Apply later

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 Data Scientist for our Machine Learning team with a passion for building reliable, scalable, and performant data systems and software. Machine Learning at Stash is focused on building a more personalized, seamless customer experience. If you are looking for a culture that encourages ownership, taking calculated risks, being data-driven and that values evidence over ego, this may be the role for you.

What you’ll do:

  • Partner closely with Product, Engineering, UX Research, Marketing/Growth, and Fraud Ops teams to shape product strategy using rigorous machine learning solutions
  • Build and maintain scalable machine learning pipelines
  • Work with large datasets to help us better understand our customers and anticipate their needs through distributed computation techniques
  • Contribute to the development of our machine learning infrastructure

Who we’re looking for:

  • BA or MS in a quantitative field (e.g. Computer Science, Statistics, Economics, Applied Mathematics, Physics, Engineering) with 3+ years of experience
  • 3+ years of programming work in Python, Scala, Java, or similar
  • Comfort with distributed computing, specifically Pyspark, AWS EMR, and Airflow
  • Experience with Pandas, R, or other statistical modeling frameworks
  • An understanding of storing and querying data from Redshift, PostgreSQL, or similar database infrastructures
  • Passion to use all aspects of data science, programming, and technology to build the financial advisor of the future
  • Experience using machine learning to improve algorithmic systems
  • Data Engineering and ETL experience is a big plus!

#LI-JB1

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**

Job region(s): Remote/Anywhere North America
Job stats:  10  1  0
  • Share this job via
  • or

Explore more AI/ML/Data Science career opportunities