Principal Data Scientist, New Product Development (Remote Friendly)

Mission Lane
Richmond, VA Remote Full Time
POSTED ON 1/20/2022 CLOSED ON 1/9/2023

What are the responsibilities and job description for the Principal Data Scientist, New Product Development (Remote Friendly) position at Mission Lane?

About the role:

We’re looking for an experienced data science practitioner to join our New Product Development team and build the next generation of products to help Mission Lane customers improve their financial health.

We’re looking for someone who can:

  • Be a hands-on technical leader excited to incubate new data-driven products and, ideally, a career trajectory towards a management role.
  • Put data science at the heart of our new product development.
  • Work independently and with support from other data scientists on our team.
  • Make sure we’re collecting the right data at the right time. This includes both capturing internal events, but also evaluating and integrating external data sources.
  • Ensure that data is properly processed and flows to the expected places in our data warehouse.
  • Lead hypothesis-driven exploration of Mission Lane’s most complex data to generate new insights, test hypotheses, and leverage data to consult and advise on NPD strategy and new product investments.
  • Conduct unguided exploration of greenfield data sources.
  • Build out the first generation of machine learning models for a wide variety of new product applications:  credit risk, marketing, search optimization, recommendation engines, etc.
  • Use or create rule-based decision infrastructure for new products.
  • Advise business partners on test design, credit underwriting, and customer targeting.

Successful applicants will:

  • Be comfortable in the Python ecosystem (numpy, pandas, scikit-learn, etc.).
  • Have experience conducting software development and model development with relational databases including strong SQL skills.
  • May have familiarity with or be excited to work with tools related to MLOps like Spark, dbt, and kubernetes.
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