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Data Scientist​/ML Engineer - Analytics and Insights Engineer III

Job in Washington, District of Columbia, 20022, USA
Listing for: PowerToFly
Full Time position
Listed on 2026-09-14
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Data Analyst
Salary/Wage Range or Industry Benchmark: 113000 - 188400 USD Yearly USD 113000.00 188400.00 YEAR
Job Description & How to Apply Below

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As an Analytics and Insights Engineer III on the AI & Data team, you will be responsible for:

  • Conduct research and development using programming, statistics, and machine learning in the federal healthcare space
  • Translate Medicare policy and operational problems into statistical and machine learning approaches that support production model design and deployment
  • Build, validate, tune, and operationalize predictive models with attention to assumptions, bias, leakage, generalization, and performance
  • Develop production-quality Python code and machine learning pipelines that are tested, documented, version-controlled, and scalable for large data volumes
  • Collaborate with engineers, analysts, subject-matter experts, and government stakeholders to communicate model performance, limitations, and methodology, and to support auditability and knowledge transfer

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or work streams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others
The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.

Qualifications

Required:

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Physics, Operations Research, or another quantitative field
  • 2+ years of experience building and deploying data science or machine learning solutions
  • 2+ years of experience conducting research using statistical methods, data science, and machine learning
  • Ability to travel 15-20%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred:

  • Master's degree or Doctor of Philosophy degree in Statistics, Mathematics, Computer Science, Economics, Physics, Operations Research, or another quantitative field
  • Experience with Python and data science or machine…
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