Posted a month ago by

Lead Data Scientist

New York City, NY, United States
Employment: Full Time Experience: Lead

Stash is investing, simplified. We are an investing platform that makes it easy for anyone to start with as little as $5. Through empowering our users with education and guidance, we help investors learn the basics so they can do it themselves. At Stash, we are working toward a future where investors are as diverse as our world.

Stash is looking for a Lead 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 leadership and mentorship to a growing data science team
  • Manage data scientists to build production models, data analysis notebooks, and dashboards, and internal data products that help extract value from our customer data
  • Explore and research applications of Deep Learning to our data and business problems
  • Design predictive models which grow and adapt as our products and customer base scale, utilizing machine learning, time-series and Bayesian statistics
  • Work with large datasets to help us better understand our customers and anticipate their needs through distributed computation techniques
  • Normalize our data across institutions and sources using semi-supervised learning
Who we’re looking for:
  • BS or MS 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
  • 5+ 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

**No Recruiters, please

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