Senior Data Scientist

| Greater NYC Area | Hybrid
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Stash is a digital-first financial services company committed to making saving and investing accessible to everyone. By breaking down barriers and building transparent, technology-driven products, we help the 99% build smarter financial habits so they can confidently save more, grow wealth, and enjoy life.

Stash is looking for a Senior Data Scientist with a passion for building reliable, scalable, and performant software. The volume of our data is reaching an inflection point in its growth, and we are looking to bring in someone to provide supporting technical leadership in advanced Machine Learning practices. You will work with a team of driven and smart data scientists to bring the voice of our customer to life from their behavioral and financial data. We work on models and insights which promote healthy investing and savings habits for our customers. 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:

  • Provide technical mentorship to a growing data science team
  • Manage data scientists to build production models to drive user engagement through recommendation models, Reinforcement Learning, and other techniques
  • Develop algorithms and features of our product which provide financial guidance at scale
  • Explore and research applications of Deep Learning to our data and business problems
  • Work with large datasets to help us better understand our customers and anticipate their needs through distributed computation techniques

Who we’re looking for:

  • BS or MS or Ph.D. in Computer Science, Statistics, Applied Mathematics, Physics, Engineering or a related field with 3+ years of experience
  • Strong experience in machine learning techniques, with preferably some exposure to deep learning
  • 3+ years of professional programming work in Python, Scala, Java, or similar
  • Experience with distributed data systems such as Spark
  • An understanding of storing and querying data from Redshift, PostgreSQL, or similar
  • Passion to use all aspects of data science, programming, and technology to build the financial advisor of the future

Gold Stars:

  • Experience with natural language processing


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Location

We offer employees the choice and flexibility to work where you want from anywhere in the US or UK. We offer stipends to make home offices productive and for those who don't live near our NYC and London offices, to secure space when they want it.

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