Principal Data Scientist
Job Description
REQUIREMENTS
- A PhD in a quantitative field and 3+ years of experience in a related role, or a BS/MS in a quantitative field and 7+ years of experience in a related role
- Has created, deployed, and managed supervised learning models in production systems for vital applications
- Shares best practices for software engineering and can help experienced data scientists work through complex technical problems, especially operationalizing and evaluating models for real-world use
- Practices solid software engineering fundamentals (test-driven development, code review, refactoring) and works fluently in our core tech stack
- Interested in a wide range of ML tooling, from established tools (Spark, Kubernetes, Airflow, MLFlow) to emerging ones (Chalk, BentoML, DVC)
- Experience assuming project leadership on a workstream, working independently with guidance focused on priorities and key objectives
- Ability to travel ~4+ times per year for high quality in-person collaboration
RESPONSIBILITES
- Implementation of the data science roadmap for collections, serving as the primary technical point of contact day to day, and setting the standard for rigor and production quality across the data scientists, consultants, and contractors working alongside you
- End-to-end models that anticipate how customers are likely to respond to different kinds of outreach, and that shape which approach Mission Lane uses and when
- Durable internal modeling practices that reduce how much of this work needs to run through outside consultants over time
Are you interested in this position?
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