Mission Lane’s Data Science Team is looking for a Principal Data Scientist to join us.

You’ll be a successful Principal Data Scientist if:

• You’re personally motivated to help improve the financial health of the 100 million working-class Americans who live paycheck-to-paycheck
• You’ve created, deployed, and managed supervised learning models in production systems for vital applications
• You enjoy being a technical mentor. You share best practices for software engineering and can help smart, knowledgeable, data scientists with hard mathematical problems.
• You consider yourself a generalist data scientist and are more motivated by practical solutions than theoretical elegance
• You practice solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, pandas, etc.)
• You can communicate, collaborate, compromise, and be sensitive to the needs of clients and your teammates

We are offering:

• A low-ego, respectful, data science team committed to solving practical problems together
• The chance to work at a company where data science is at the heart of the business and integral to both our day-to-day operation and our executive team’s strategic vision
• Flexible work hours and flexible work location (even after the pandemic)
• A generous parental leave policy
• Excellent opportunities for career growth, with both management and technical tracks for advancement
• A team that values learning and approaches work with a “growth mindset”
• A competitive salary, equity, and a full benefits package (health, dental, vision, 401k)

You might be particularly excited about the role if you want:

• To work on fairness, accountability, and transparency in machine learning (FAccT ML) or explainable AI (XAI)
• To find practical ways to apply modern innovations from diverse research areas like Causal Inference, Cost-Sensitive Machine Learning, and Time Series Classification
• To use distributed computing systems like Spark and Snowflake to manipulate data

If you’re excited about the role and aren’t sure if you meet all the requirements - we want you to apply anyway! We believe people can contribute to our team in a wide variety of ways and want to meet people who find meaning in our mission and our technical work compelling.