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A hybrid Data & ML role at PayJoy.
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Original listing text, shown exactly as published by the company.
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Ensure our delivered ML models are production-ready, optimized for scale and continuously improved based on feedback from our stakeholders and performance in production.
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Improve our infrastructure for fraud decisioning by extending it to new entity types, identifying and constructing new rules, and supporting greater scale as we grow.
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Handle large, complex datasets to clean, preprocess and extract relevant features to improve product accuracy and performance.
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Write production-level code with documentation, testing and peer review.
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Work with a data-driven mindset and understand the critical importance of handling data properly and safely.
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Lead the testing, cost-benefit analysis and integration of new data sources to improve the accuracy and robustness of our ML models.
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Work closely with our ML Platform and Tooling team to design and implement scalable feature generation and extraction pipelines and model deployment/monitoring processes.
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Bachelor’s degree in Computer Science, Engineering, or a related field
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3+ years of experience as a data scientist, machine learning engineer, data engineer or a closely related position with a proven track record of writing production-level code and developing and maintaining ML models in production.
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High proficiency in Python and a strong understanding of its related libraries and frameworks (e.g., Scikit-Learn, Pandas, Flask, etc).
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Comprehensive knowledge of ML lifecycle: from data extraction and feature engineering to model serving and monitoring for live and batch processing.
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Demonstrated experience with cloud providers (AWS preferred) and related services like containerization (e.g., Docker).
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Experience in fraud detection or other applications of machine learning in the financial market is a big plus.
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Experience with LLMs or graph databases is also a plus.
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Hands-on experience with Databricks for developing, deploying and monitoring machine learning workflows at scale is another plus.
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Good verbal and written communication skills in English
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Ability to work in a fast paced environment with constant requirement changes.
PayJoy
Data & ML
93 open roles on Sydicom
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Source: company website
