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Deloitte

Audits companies and advises on tax and technology

Data Scientist / ML Engineer - Analytics and Insights Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeBaltimore, MD, USA

About the Job

Requirements

  • A bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Physics, Operations Research, or another quantitative field is required.
  • At least 2 years of experience building and deploying data science or machine learning solutions is required.
  • At least 2 years of experience conducting research using statistical methods, data science, and machine learning is required.
  • Candidates must be legally authorized to work in the United States without employer sponsorship, now or in the future.
  • Candidates must be able to travel 15–20% on average, depending on client and industry or sector needs.
  • Candidates should be able to work independently and collaboratively, communicate effectively in writing and verbally, and produce detailed, high-quality work.
  • Candidates should be able to lead projects or workstreams, manage and prioritize multiple tasks, meet deadlines, and provide clear guidance to others.
  • A master's degree or Doctor of Philosophy degree in Statistics, Mathematics, Computer Science, Economics, Physics, Operations Research, or another quantitative field is preferred.
  • Experience with Python and data science or machine learning libraries such as NumPy, pandas, scikit-learn, SciPy, or statsmodels is preferred.
  • Experience with object-oriented programming, Git version control, testing, and code review is preferred.
  • Experience supporting healthcare or Medicare programs is preferred.
  • 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 is preferred.
  • Experience applying probability, statistics, linear algebra, or optimization to machine learning model development is preferred.

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, accounting for 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.

Desired Qualifications

  • A 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, Git version control, 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.

About the Company

Deloitte

Audits companies and advises on tax and technology

Deloitte audits companies and advises businesses and governments on tax, technology, and risk, and it is one of the Big Four, the world's four largest accounting firms. In 1849 its founder became the first independent auditor of a public company, Britain's Great Western Railway. Its auditors check companies' financial reports for errors and fraud before investors rely on them, while its consultants design strategy, install business software, and defend clients against cyberattacks. Clients pay fees for each audit or project, and each country's Deloitte firm is a separate business owned by its local partners. Deloitte was founded in London in 1845 and is based in New York.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$17.1M
Headquarters
New York, NY
Founded
1845

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