Deloitte - Houston, TX

posted 4 months ago

Full-time - Senior
Houston, TX
5,001-10,000 employees
Professional, Scientific, and Technical Services

About the position

The Data Scientist Manager at Deloitte will lead the development of AI tools and services for federal clients, focusing on advanced methodologies in machine learning and data analysis. This role involves defining strategies, driving technical development, and creating innovative solutions to complex business problems in the public sector. The position requires a blend of technical expertise, leadership, and the ability to work autonomously with clients.

Responsibilities

  • Design, develop and apply state-of-the-art methods within AI and machine learning.
  • Act as an AI thought leader, creating whitepapers, presentations, and reports to support AI solutions.
  • Guide federal clients in AI strategy and development, including exploratory data analysis and model deployment.
  • Act as a subject matter expert to GPS clients and the global AI partner ecosystem.
  • Iterate on and create repeatable, reusable processes and scalable data systems.
  • Maintain data science best practices on new methodologies and technologies.
  • Work cross-functionally with other scientists, data engineers, and leadership to ensure project success.

Requirements

  • Master's or Ph.D. in a STEM field preferred.
  • 8+ years of experience in AI/ML algorithm development and data analysis.
  • 5+ years of experience in core programming languages and data science packages (Python, Keras, TensorFlow, etc.).
  • 5+ years of experience with deployment and optimization (Kubernetes, Docker, etc.).
  • Ability to obtain and maintain a government security clearance.
  • Must be legally authorized to work in the United States without employer sponsorship.

Nice-to-haves

  • 3+ years of experience with cloud deployment (AWS, Azure, GCP).
  • Strong problem solving and troubleshooting skills.
  • Active Security clearance.

Benefits

  • Competitive salary
  • Opportunities for professional development
  • Flexible work arrangements
  • Health and wellness programs
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