Senior Data Scientist – Remote Credit Modeling

Dataroles; Northern (KY); Hybrid; USD 120,000 - 134,000; Full time

Benefits offered by this job

401(k) match

Monthly wellness stipend

Health/dental/vision insurance

Disability coverage

Paid parental leave

Flexible spending account

Life insurance

Remote-first environment

Job summary

Mission Lane is hiring a Senior Data Scientist to design, build, and deploy supervised learning models powering credit decisions. You will partner with risk and portfolio teams to translate business questions into modeling problems and communicate trade-offs.

You will monitor in production and apply engineering best practices while exploring new data sources and modeling approaches. The role offers a remote-first environment with a strong benefits package, including competitive compensation and

Qualifications

• 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.

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

Python

ML Modeling

Production ML

Data Pipelines

Communication

Education

Quantitative degree

Tools

Python data stack

LightGBM

scikit-learn

DVC

Kubernetes

Airflow

Google Cloud

Chalk (feature store)

Job description

Mission Lane is hiring a Senior Data Scientist to design, build, and deploy supervised learning models powering credit decisions. You will partner with risk and portfolio teams to translate business questions into modeling problems and communicate trade-offs.

You will monitor in production and apply engineering best practices while exploring new data sources and modeling approaches. The role offers a remote-first environment with a strong benefits package, including competitive compensation and