Data Scientist

New York City, NY, United States Full Time Mid-Level
What you’ll do:
  • You will work closely with our CTO and engineering teams to establish new systems for our products to predict and augment the Stash experience in ever more intelligent ways
  • 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
  • Make rigorous statistical inferences from A/B testing on our product and customer segments
  • Normalize our data across institutions and sources using semi-supervised learning
Who we’re looking for:
  • MS in Computer Science, Statistics, Applied Mathematics, Physics, Engineering or a related field with 3+ years of experience
  • 2+ years of professional programming work in Python, Scala, Java, or similar
  • Experience with Pandas, R, or other statistical modeling frameworks
  • 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
  • Experience using machine learning to improve algorithmic systems
  • Experience with machine learning frameworks such as Apache Spark or Apache Hadoop/MapReduce
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