Note: The job is a remote job and is open to candidates in USA. Mission Lane combines data, technology, and exceptional service to help people achieve financial progress. The Senior Data Scientist will build, deploy, and improve supervised learning models that power credit decisions, while partnering with credit risk and portfolio teams, monitoring production models, and applying strong software engineering practices.
Responsibilities
- Design, build, and deploy supervised learning models that power Mission Lane's credit decisions, from first experiment through production
- Partner with credit risk and portfolio teams to translate open business questions into modeling problems, and communicate the trade-offs between them
- Monitor models already in production, catching drift and validating performance so they keep doing what they were built to do
- Apply strong software engineering practices to your modeling work, including test-driven development, code review, and refactoring
- Explore new data sources and modeling approaches using Mission Lane's Python data stack
Skills
- A degree in a quantitative field and 1+ years of work experience in a related role
- Experience creating, deploying, and managing supervised learning models in a production system
- Experience writing tested, reviewed, reproducible code, for data pipelines and model training alike, working fluently in the Python data stack
- Familiarity with working at the command line, shell scripting, databases, and cloud computing services
- Ability to travel ~4+ times per year for high quality in-person collaboration
- Experience solving problems in consumer lending or fintech
- Experience with Airflow, Dagster, or other data pipeline platforms
Benefits
- Participation in the annual incentive program
- Participation in equity programs
- Paid time off
- 401(k) match
- Monthly wellness stipend
- Health insurance options
- Dental insurance options
- Vision insurance options
- Disability coverage
- Paid parental leave
- Flexible spending account for childcare and healthcare
- Life insurance
- Remote-first work environment
Company Overview