> Markdown version of [/jobs/ext/3640477-data-scientist](https://www.wearedevelopers.com/jobs/ext/3640477-data-scientist). 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). --- # Data Scientist - **Company:** Zest AI - **Location:** Burbank, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Programming, Memory Management, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Feature Engineering, Scikit Learn, Xgboost, Machine Learning Operations, Software Version Control, Unsupervised Learning - **Published:** October 8, 2026 - **Apply:** https://www.thejobnetwork.com/job/72aa833c-1245-46c2-8dfc-8a2ec767d096/senior-data-scientist ## About the Role * MS or PhD in a quantitative field such as Computer Science, Engineering, Physics, Mathematics, or a related discipline (financial services experience is a plus) \n * Strong foundation in programming, statistics, mathematics, and classical machine learning techniques, including tree-based methods, optimization, supervised and unsupervised learning, and feature engineering \n * Experience designing, developing, and deploying machine learning models in production environments \n * Hands-on experience with machine learning frameworks such as XGBoost, Scikit-learn, or similar libraries \n * Solid understanding of system-level considerations for ML development, including memory usage, disk I/O, and CPU/GPU utilization \n * Experience with modern software engineering practices, including modular code design, version control, and maintainable codebases \n * Strong proficiency in Python ## Description Data Scientists at Zest AI use the power of machine learning (ML) and statistical analysis to build, test, deploy, and monitor financial underwriting models. These models are providing fairer and transparent access to credit and have already had a substantial impact - scoring millions of Americans on over $180B in assets. By leveraging a combination of ML and vast amounts of data points, Zest seeks to challenge traditional credit scoring models, while expanding our proprietary AI-explainability technology across the fintech industry.