Mission Lane

Director, Data Science Operations

Mission Lane

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $185,000 - $226,000 per year

Job Level

Lead

Tech Stack

NumpyPandasScikit-Learn

About the role

  • Lead a data science team and cross-functional projects to innovate and improve the machine learning models used for decisioning.
  • Lead the design, development, and deployment of machine learning models to solve practical problems and help customers reach financial goals.
  • Partner with business leaders and technical experts to develop new data sources, improve modeling methodology, and apply models with sound risk management.
  • Create, deploy, and manage experiments and production models that enable efficient and accurate decisions across the portfolio.

Requirements

  • Has experience applying data science to financial services and is excited to improve operations for a multi-billion-dollar portfolio that’s growing every day.
  • Can make your team better every day because you can be clear about goals and the team’s purpose; can execute through education, organization, and trust.
  • Can grow members of your team by helping them identify strengths and weaknesses, putting them in a position to succeed, and providing training and opportunities.
  • Has a deep understanding of the field of data science and can communicate a vision for applied solutions to difficult, practical problems.
  • Has created, deployed, and managed experiments and models in production systems and can speak to practitioners about principles and challenges required for applied work.
  • Practices solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, pandas, etc.).
  • Bonus: Experience solving problems in consumer lending or fintech.
  • Bonus: Interest in advancing operations like fraud defenses, collections, and customer experience through new data sources, experimentation, and AI tools.