Staff Data Scientist

Position Overview

• Location Type: Remote
• Job Type: Full-time
• Salary: $147,000 - $179,000 (Annual full-time base salary range)

Mission Lane is revolutionizing access to credit to pave a clear way forward for millions of Americans on the path to financial success. As a Staff 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 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

• Experience creating, deploying, and managing supervised learning models in production systems for vital applications.
• Excels at cross-functional collaboration as a technical expert to both business leaders and other technical teams.
• Approaches problems with a solution-oriented mindset and can overcome real-world challenges of managing data and applying models.
• Considers themself 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.).
• 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.

Responsibilities

• Design, develop, and deploy 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.

Bonus Points

• 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

• Work: Engaging culture with access to training programs and advancement opportunities.
• Life: Full health, dental, and vision benefits, Flexible Spending Account (for medical and childcare expenses), paid parental leave, and a 401k Company Match.
• Balance: Generous PTO, flexible schedules, a Calm App subscription, and more.