Data Scientist
Burbank, Ca
Zest AI
Zest AI helps lenders make better credit decisions—increasing revenue, reducing risk, and automating compliance. We make fair credit available to everyone.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.
In this role you will:
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Translate unstructured business problems into well-defined machine learning projects
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Collaborate with a cross-functional team of Engineers, Product Managers, and Business Analysts to identify and manage high leverage opportunities for modeling work
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Design and implement highly generalizable models for predicting various outcomes. Incorporate and develop learnings back into the product for continuous improvement opportunities
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Build demos, guidance documentation, and assist with training to help others become more proficient
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Take responsibility for modeling implementation in real world settings. This may include creating experiments and developing prototypes, with the goal of returning practical value to our customers
We are looking for:
- MS or PhD in a quantitative field (Computer Science, Engineering, Physics, etc.) with hands-on experience of 3 years or more – experience in financial services is a plus!
- Strong fundamentals in programming, statistics, mathematics, and ML algorithms (neural networks, tree-based methods, optimizers, super/unsupervised learning, feature engineering, etc.)
- Expert experience designing, developing, and implementing machine learning models/algorithms. Familiar with implementing and developing/extending ML/AI frameworks (TensorFlow, XGBoost, Scikit-learn, etc.)
- Good development awareness regarding memory, disk I/O, and CPU/GPU management. Experience with modular/modern software design practices strongly preferred, in addition to experience with Python
- Passionate about ML/AI and how it can improve on the world
Perks and benefits:
- Robust healthcare plans, matching 401K and unlimited vacation time
- Weekly companywide “all hands” meetings
- Virtual weekly happy hours, sometimes casual and other times with a focus around topics like racial discrimination and LGBTQ+ history
- Employee care packages to make WFH more enjoyable
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Engineering Feature engineering FinTech GPU Machine Learning Mathematics ML models PhD Physics Python Scikit-learn Statistics TensorFlow XGBoost
Perks/benefits: Career development Team events Unlimited paid time off
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