Principal Data Scientist, Operations

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 Principal Data Scientist, you will innovate and improve the machine learning models we rely on to make billions of dollars of efficient and accurate decisions.

What You'll Do

• Design, develop, and deploy machine learning models to solve practical problems and help customers reach their financial goals.
• Partner with business leaders and technical experts to develop new data sources and improve modeling methodology.
• Share best practices for software engineering and mentor data scientists with complex technical problems.
• Operationalize and evaluate models for real-world applications using established tools (Spark, Kubernetes, Airflow, MLFlow) and emerging tools (Chalk, BentoML).

What You Bring

• PhD in a quantitative field with 3+ years of experience OR BS/MS with 7+ years of experience in a related role.
• Proven track record of creating, deploying, and managing supervised learning models in production systems.
• Solid fundamentals in software engineering (test-driven development, code review) and the PyData stack (numpy, scikit-learn, pandas).
• Bonus: Experience solving problems in consumer lending/fintech and developing neural network architectures for time series classification tasks.

Benefits

• Annual base salary range: $183,000 - $224,000 plus annual incentive program and equity.
• Full health, dental, and vision benefits, plus a Flexible Spending Account.
• Unlimited paid time off, 401(k) company match, and a monthly wellness stipend.
• Paid parental leave and a fully remote-friendly work environment within the United States.