Senior Data Scientist, Credit

Mission Lane
$120,000 - $135,000Remote

About The Position

As a Senior Data Scientist, you will innovate and improve the machine learning models we rely on to make billions of dollars of efficient and accurate decisions and to enable financial progress for our customers. As a Senior Data Scientist, you’ll collaborate on designing, developing, and deploying machine learning models to solve practical problems and help our business and customers reach their financial goals. You’ll partner with business leaders and technical experts across the company to develop new data sources, improve our modeling methodology, and apply models with sound risk management.

Requirements

  • Has collaborated on creating, deploying, and managing supervised learning models in production systems for vital applications
  • Has a PhD in a quantitative field and 1+ years of experience in a related role
  • Has a BS / MS in a quantitative field and 3+ years of experience in a related role
  • Practices solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, pandas, etc.)
  • Is interested in a wide range of ML solutions, including established tools (e.g. Spark, Kubernetes, Airflow, MLFlow), emerging tools (like Chalk, BentoML, or DVC), and developing in-house tools

Nice To Haves

  • Experience managing a strong technical team
  • Experience building predictive models end to end
  • Experience solving problems in consumer lending or fintech
  • Interest in developing ways to train, interpret, and deploy neural network architectures for time series classification tasks

Responsibilities

  • Collaborate on designing, developing, and deploying machine learning models to solve practical problems and help our business and customers reach their financial goals.
  • Partner with business leaders and technical experts across the company to develop new data sources, improve our modeling methodology, and apply models with sound risk management.
  • Share best practices for software engineering and can help smart, experienced data scientists with complex technical problems - especially operationalizing and evaluating models for real-world applications.

Benefits

  • An engaging culture with access to training programs and advancement opportunities
  • Full health, dental, and vision benefits
  • Flexible Spending Account (for medical and childcare expenses)
  • Paid parental leave
  • 401k Company Match
  • Generous PTO
  • Flexible schedules
  • A Calm App subscription
  • Unlimited paid time off
  • A monthly wellness stipend
  • Health/ dental/ vision insurance options
  • Disability coverage
  • Life insurance
  • A remote-friendly work environment
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