Principal Data Scientist

Mission Lane

2d

About The Position

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 and to enable financial progress for our customers.
As a Principal Data Scientist, you’ll:
Design, develop, and deploy 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.
You are a person who:
Has created, deployed, and managed supervised learning models in production systems for vital applications and enjoys being a technical mentor
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 5+ years of experience in a related role
You 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
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.)
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

Requirements

• Has created, deployed, and managed supervised learning models in production systems for vital applications and enjoys being a technical mentor
• 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 5+ years of experience in a related role
• You 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
• 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.)
• 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 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

• 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.

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, and a 401k Company Match
• Generous PTO, flexible schedules, a Calm App subscription, and more

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: Ph.D. or professional degree