Top Hybrid Data Science Jobs in Charlotte, NC
Lead the development lifecycle of ML models, maintain pipelines, collaborate with team members, stay updated on ML technologies, adhere to code standards, present data stories, and mentor junior team members in a Fortune 50 retailer's Forecasting team.
Provide advanced analytical capabilities to support data science initiatives, build user interfaces, and develop solutions using market research. Responsibilities include data mining, applying statistics and machine learning, building data models, and deriving insights for competitive advantage.
Join as a Data Scientist to innovate and simplify store inventory management, protect in-store assets, and build connected Smart Stores to enhance customer experiences. Responsible for applying advanced data science algorithms, developing solutions on an enterprise scale, preparing recommendations, tracking company success, and leading automation projects. Must have expertise in data science and interact confidently with the business.
Leads and guides end-to-end analytical projects leveraging structured and unstructured data.
The Data Scientist at PwC is responsible for collecting domain context, defining hypothesis and prediction tasks, creating data sources, conducting experiments with algorithms, validating and testing models, producing pipelines for automation, identifying insights, and communicating model outputs to stakeholders.
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Join our team as a Senior Data Scientist in Fraud Risk, responsible for identifying and preventing fraud and credit risks using analytical skills and machine learning solutions. Collaborate with various teams to influence the global Risk roadmap and processes, and contribute to Square's Banking initiatives.
Join Square as a Senior Data Scientist in the Fraud Risk team to identify and prevent fraud & credit risks, manage top level Risk KPIs, establish core operational metrics, and make improvements using machine learning solutions. Partner with various teams to influence product roadmaps and develop risk detection strategies.
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