> Markdown version of [/jobs/ext/3441525-senior-data-scientist-credit](https://www.wearedevelopers.com/jobs/ext/3441525-senior-data-scientist-credit). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Scientist, Credit

- **Company:** Mission Lane
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $134,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Command-Line Interface, Cloud Computing, Code Review, Databases, Python (Programming Language), NumPy, Shell Script, Supervised Learning, Google Cloud, Test-Driven Development (TDD), Scikit Learn, Kubernetes, Xgboost, Code Restructuring, Data Pipelines
- **Published:** September 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5986af44b0653c1f

## About the Role

* You're motivated by practical solutions, and curiosity is part of how you work every day.
 * You haven't necessarily worked in credit or lending before, but you're excited to learn a domain where regulations and long-horizon predictions matter.
 * You're comfortable with the full lifecycle of a model, including the less glamorous parts like data cleanup, monitoring, and validation.
 * You work well with people outside data science and can explain a modeling decision in plain language., * 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

Preferred qualifications:

 * Experience solving problems in consumer lending or fintech
 * Experience with Airflow, Dagster, or other data pipeline platforms

## Description

* 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.

Our core tech stack includes:

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


## Related Videos

- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Shoot for the moon - machine learning for automated online ad detection](https://www.wearedevelopers.com/videos/502-shoot-for-the-moon-machine-learning-for-automated-online-ad-detection)
- [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow)
- [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Is my AI alive but brain-dead? How monitoring can tell you if your machine learning stack is still performing](https://www.wearedevelopers.com/videos/262-is-my-ai-alive-but-brain-dead-how-monitoring-can-tell-you-if-your-machine-learning-stack-is-still-performing)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)