Data Scientist / ML Engineer - Analytics and Insights Engineer III at Deloitte | Arlington, VA, US | Rezi

Data Scientist / ML Engineer - Analytics and Insights Engineer III at Deloitte

Data Scientist / ML Engineer - Analytics and Insights Engineer III

Deloitte · Arlington, VA, US

1 months ago

Data Scientist / ML Engineer - Analytics and Insights Engineer III

Deloitte · Arlington, VA, US

a month ago
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About the Role

As an Analytics and Insights Engineer III on the AI & Data team, you will conduct research and development using programming, statistics, and machine learning in the federal healthcare space. You will 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.

Responsibilities

  • 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

Requirements

  • 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

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 workstreams
  • 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
  • Python
  • Data science or machine learning libraries such as NumPy, pandas, scikit-learn, SciPy, or statsmodels
  • Object-oriented programming
  • Version control using Git
  • Testing
  • Code review
  • Probability
  • Statistics
  • Linear algebra
  • Optimization
  • Machine learning model development

Location

  • Baltimore, Maryland, United States
  • Charlotte, North Carolina, United States
  • McLean, Virginia, United States
  • Raleigh, North Carolina, United States
  • Richmond, Virginia, United States
  • Rosslyn, Virginia, United States
  • Washington, District of Columbia, United States

Work Type

  • Full-time

Experience Level

  • 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

Education Level

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, Physics, Operations Research, or another quantitative field
  • Master’s degree or Doctor of Philosophy degree in Statistics, Mathematics, Computer Science, Economics, Physics, Operations Research, or another quantitative field

Salary/Compensations

  • $113,000 to $188,400

Benefits

  • Competitive benefits package for project delivery-focused professionals
  • Discretionary annual incentive program
  • Opportunities to build new skills
  • Leadership opportunities
  • Mentorship programs
  • On-the-job learning experiences
  • Formal development programs

About the Company

  • Deloitte AI & Engineering team transforms technology platforms, drives innovation, and helps make a significant impact on clients’ success.
  • Deloitte’s Government & Public Services (GPS) practice serves federal, state, & local government clients as well as public higher education institutions.
  • 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.
  • Deloitte's purpose is to make an impact that matters for our people, clients, and communities.

Equal Opportunity

  • All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.