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# Senior Data Scientist, Credit

- **Company:** Mission Lane
- **Location:** San Francisco, United States (Remote available)
- **Experience:** Expert
- **Salary:** $120,000.0 - $135,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Artificial Neural Networks, Code Review, Machine Learning, Software Engineering, Supervised Learning, Test-Driven Development (TDD), Apache Spark, Scikit Learn, Kubernetes, Machine Learning Operations, Code Restructuring
- **Published:** August 19, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pdl6029to8

## About the Role

* Has collaborated on creating, deploying, and managing supervised learning models in production systems for vital applications
 * Has a PhD in a quantitative field and 1+ years of experience in a related role
 * Has a BS / MS in a quantitative field and 3+ years of experience in a related role
 * You share best practices for software engineering and can collaborate with smart, experienced data scientists with complex technical problems - especially operationalizing and evaluating models for real-world applications
 * Considers themself a generalist data scientist more motivated by practical solutions than theoretical elegance
 * Practices solid fundamentals with software engineering (test-driven development, code review, refactoring) and the PyData stack (numpy, scikit-learn, pandas, etc.)
 * Is interested in a wide range of ML solutions, including established tools (e.g. Spark, Kubernetes, Airflow, MLFlow), emerging tools (like Chalk, BentoML, or DVC), and developing in-house tools

You Get Bonus Points For

 * Experience collaborating with a strong technical team
 * Experience building predictive models end to end
 * Experience solving problems in consumer lending or fintech
 * Interest in developing ways to train, interpret, and deploy neural network architectures for time series classification tasks

## Description

As a Senior Data Scientist, you will innovate and improve the machine learning models we rely on to make billions of dollars of efficient and accurate decisions and to enable financial progress for our customers.


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