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Senior Manager, Data Science - Business Card & Payments
NEW YORK, NEW YORK, UNITED STATES
...including tech and data engineers, to problem solve and develop modeling strategy and solutions with innovative approach. Role DescriptionIn this role, you will:Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love...
Maintenance Plumber
WASHINGTON
We are recruiting for a maintenance plumber to cover PPM and reactive maintenance on a secure facility in the North East area. The maintenance engineer will be responsible for general repairs and upkeep to the water and mechanical services plus compliance checks and general fabric upkeep. This is a...
Manager, Data Science - Fraud, Deep Learning
MC LEAN, VIRGINIA, UNITED STATES
...scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies Python, Conda, AWS, H2O, Spark, Pytorch, Tensorflow and more to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning...
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PENNSYLVANIA
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Manager, Data Science - Card Fraud Detection
MC LEAN, VIRGINIA, UNITED STATES
...scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies Python, Conda, AWS, H2O, Spark, and more to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all...
Manager, Data Scientist - Business Card & Payments
MC LEAN, VIRGINIA, UNITED STATES
...including tech and data engineers, to problem solve and develop modeling strategy and solutions with innovative approach. Role DescriptionIn this role, you will:Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love...
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Manager, Data Scientist - Compliance Risk
MC LEAN, VIRGINIA, UNITED STATES
...scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies Python, Conda, AWS, H2O, Spark, and more to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all...
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