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Sr Data Scientist - Financial Crimes & Fraud Prevention, VP (Hybrid)

Citi

Remote or San Antonio, Texas, USA

Full-time

The Business Analytics Lead Analyst is a member of the Fusion Analytics Team under FFC. This role will be tasked with creating analytical solutions across all LOB's utilizing statistical and advanced analytical techniques and drive strategic insights and decision making. An ideal candidate will have strong expertise in machine learning, predictive modeling and financial data analysis. Experience in digital fraud detection and cybersecurity will be a strong advantage. You will need to collaborate

Machine Learning Engineer

Netflix, Inc.

Remote

Full-time

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. NOTE: This job posting is inclusive of a variety of positions within our Algorithms Engineering group. Based on your background, expertise and interests, we will route you t

Machine Learning (ML) Engineer

OpenBrand

Remote

Full-time

Department: EngineeringLocation: Remote, USA About The Role We're looking for a brilliant Machine Learning Engineer to help our team refine our brandprint recognition platform and develop features that enable rapid growth. You will be chiefly responsible for designing, training, shipping, and documenting customer-facing ML models. In this role, you have the ability to shape the future of our company and the market intelligence industry as whole. To do so, you will need proven experience with

Sr. NLP Data Scientist/Machine Learning Engineer

Satsyil Corporation

Remote

Full-time

Role: Sr NLP Data Scientist/Machine Learning Engineer. Location: 1775 Tysons Blvd, VA Duration: FTE. Job Description: They will play a role as an expert consultant to federal agency partners, develop project plans and manage delivery activities, providing leadership and influencing adoption of technical AI/ML solutions. Evaluate the integration of Artificial Intelligence (AI) solutions into next generation tools and processes to enhance technology solutions to support continuous improvements and