Jobs · Engineering

Senior Data Scientist, Credit

Mission Lane · United States · 2 wk ago
RemoteRemoteEngineering$120k–$135k/yrFull-time

About the role

Mission Lane is combining the power of data, technology, and exceptional service to pave a clear way forward for millions of people on the path to financial success. 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.

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

  • 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, or a BS/MS in a quantitative field and 3+ years of experience in a related role
  • Shares best practices for software engineering and can help smart, experienced data scientists with complex technical problems
  • Considers themselves a generalist data scientist more motivated by practical solutions than theoretical elegance
  • 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

Preferred qualifications

  • 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

Benefits

Our comprehensive benefits package provides the support you need to thrive at work and at home, including full health, dental, and vision benefits, Flexible Spending Account, paid parental leave, and a 401k Company Match. We also offer generous PTO, flexible schedules, a Calm App subscription, and more.

Pay

USD Annual full-time base salary range: $120,000 - $135,000. Additional compensation in the form of participation in our annual incentive program and equity are available for this role. Pay is based on factors such as work experience, education, certification(s), training, skills, and competencies related to the role.

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