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