Job description

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 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 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 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 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,000 to $188,400. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Requirements

Must-haves

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 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
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

Nice-to-haves

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 applying probability, statistics, linear algebra, or optimization to machine learning model development

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpython

Platform: avature
Effort: medium