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

- **Company:** Deloitte T.T.L.
- **Location:** Charlotte, NC, United States
- **Experience:** Experienced
- **Salary:** $113,000.0 - $188,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Code Review, Computer Programming, Python (Programming Language), Machine Learning, NumPy, Object-Oriented Software Development, SciPy, Git, Pandas, Scikit Learn, Information Technology, Statistics Packages, Machine Learning Operations, Software Library
- **Published:** September 11, 2026
- **Apply:** https://dejobs.org/x/x/7A5B2A01DB7A4FF8BAA0AF126C726FDB/job/

## About the Role

* 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, 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 learning libraries such as NumPy, pandas, scikit-learn, SciPy, or statsmodels
 * Experience with object-oriented programming, version control using Git, testing, and code review
 * Experience supporting healthcare or Medicare programs
 * Experience working with claims, enrollment, or administrative healthcare data, including Centers for Medicare & Medicaid Services data, International Classification of Diseases codes, Current Procedural Terminology codes, or Healthcare Common Procedure Coding System codes
 * Experience applying probability, statistics, linear algebra, or optimization to machine learning model development

## Description

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


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