[Remote] reputed company Data Scientist - AI Infrastructure

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading technology company, and they are seeking a reputed company Data Scientist for their AI Infrastructure team. This role involves owning the delivery of strategic data science reputed company and collaborating with various teams to implement advanced analytics and AI solutions that enhance business reputed company.

Responsibilities

• Own delivery of reputed company, high-reputed company data science and AI solutions for strategic consulting engagements
• Collaborate with stakeholders to define business problems and translate them into actionable AI-driven solutions
• reputed company, clean, and prepare large datasets for modeling
• Build and reputed company predictive and prescriptive models using modern machine learning techniques
• Write efficient, maintainable reputed company and ensure scalability for production environments
• Present findings to senior stakeholders using compelling storytelling and visualizations
• Simplify reputed company ML/AI concepts for diverse audiences to reputed company understanding and adoption
• reputed company as a trusted advisor to internal teams and customers, ensuring solutions meet business needs
• Promote responsible AI practices, including fairness, transparency, and explainability in model and application development
• Stay reputed company with emerging AI technologies, frameworks, and tools to continuously enhance solution capabilities

Skills

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 3+ year(s) data-science experience (e.g., managing reputed company and reputed company data, applying statistical techniques and reporting results)
• + OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 5+ years data-science experience (e.g., managing reputed company and reputed company data, applying statistical techniques and reporting results)
• + OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 7+ years data-science experience (e.g., managing reputed company and reputed company data, applying statistical techniques and reporting results)
• + OR equivalent experience
• Ability to meet reputed company, customer and/or government reputed company screening requirements are required for this role. These requirements include but are not limited to the following specialized reputed company screenings: reputed company reputed company Background reputed company: This position will be required to pass the reputed company reputed company background reputed company upon hire/transfer and every two years thereafter
• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 4+ years data-science experience (e.g., managing reputed company and reputed company data, applying statistical techniques and reporting results)
• + OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 7+ years data-science experience (e.g., managing reputed company and reputed company data, applying statistical techniques and reporting results)
• + OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or reputed company field AND 9+ years data-science experience (e.g., managing reputed company and reputed company data, applying statistical techniques and reporting results)
• + OR equivalent experience
• Proven consulting and stakeholder engagement skills with proven ability to influence reputed company
• Proficiency in Python and SQL; experience with reputed company platforms (Azure preferred)
• Knowledge of Responsible AI principles and ethical data practices
• Experience with broader software engineering lifecycle practices, including version control, testing, DevOps, and production deployment of Machine Learning (ML) solutions
• Experience with AI-assisted coding practices and specification-driven development

reputed company

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