[Hiring] Senior Data Scientist @Mission Lane

Role Description

We're looking for a Senior Data Scientist to build and improve the machine learning models behind Mission Lane's credit decisions.

The impact you'll make:

• Build and sharpen models that read signals accurately, fairly, and soundly to help customers move forward.
• Dig into predicting repayment for applicants without years of clean credit history.
• Learn and grow with Mission Lane during its exciting maturation phase.

As Senior Data Scientist you will:

• Design, build, and deploy supervised learning models that power Mission Lane's credit decisions.
• Partner with credit risk and portfolio teams to translate business questions into modeling problems.
• Monitor models in production, catching drift and validating performance.
• Apply strong software engineering practices, including test-driven development and code review.
• Explore new data sources and modeling approaches using Mission Lane's Python data stack.

Our core tech stack includes:

• Python and the Python data stack (numpy, polars, scikit-learn)
• LightGBM
• DVC
• Kubernetes
• Airflow
• Google Cloud
• Chalk, our feature store

You'll thrive in this role if:

• You're motivated by practical solutions and curiosity.
• You're excited to learn about regulations and long-horizon predictions in credit or lending.
• You're comfortable with the full lifecycle of a model, including data cleanup and validation.
• You can explain modeling decisions in plain language to non-data science colleagues.

Qualifications

• 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 in Python.
• Familiarity with command line, shell scripting, databases, and cloud computing services.
• Ability to travel ~4+ times per year for in-person collaboration.

Requirements

• Experience solving problems in consumer lending or fintech (preferred).
• Experience with Airflow, Dagster, or other data pipeline platforms (preferred).

Benefits

• Annual full-time starting base salary range: $120,000 - $134,000.
• Eligibility for additional compensation through annual incentive and equity programs.
• Comprehensive benefits plan, including:
• Paid time off
• 401(k) match
• Monthly wellness stipend
• Health/dental/vision insurance options
• Disability coverage
• Paid parental leave
• Flexible spending account (for childcare and healthcare)
• Life insurance
• Remote-first work environment