Staff Data Scientist
| Company | Mission Lane |
|---|---|
| Location | United States |
| Salary | $147000 – $179000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior, Expert or higher |
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 3+ years of experience in a related role
- Excels at cross-functional collaboration as technical expert to both business leaders and other technical teams
- Approaches problems with a solution-oriented mindset and can overcome the 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.)
- 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
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
Preferred Qualifications
- 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