Work You'll Do • Lead end-to-end predictive modeling efforts: understand the business use case, conduct preliminary analyses, and propose solutions using statistical and machine learning techniques.
• Validate feasibility quickly through data exploration, proof-of-concept modeling, and clear readouts on what will (and won't) work.
• Improve model performance and robustness by addressing issues like imbalance, overfitting, and leakage; apply strong analytical reasoning to select appropriate methods.
• Interpret and explain model outcomes using feature importance, SHAP, and related techniques; share findings for technical review and iteration.
• Work in a highly collaborative environment with data scientists and leaders across geographies, creating alignment on methods, standards, and delivery milestones.
• Communicate methodology and results to project leadership and senior management in a way that enables decisions and builds trust.
• Supervise and develop a team of data scientists: guide data sourcing and preparation across disparate systems; set modeling best practices; raise quality and speed.
• Mentor team members as a technical and business SME, supporting performance and career growth.
• Stay current on advances in AI/ML, bringing relevant techniques into the team's toolkit responsibly.
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 Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
The Prism Products portfolio is a group of AI-powered population insight solutions, including HealthPrism, PeoplePrism, Candidate360, and GivePrism, that enable cross-sector clients to better understand and tailor services to the populations they serve.
Qualifications Required:
- Bachelor's Degree or higher in Engineering, Computer Science, Statistics, Mathematics, or related quantitative field
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- 5+ years predictive modeling
- 2+ years leading a team of data scientists
Preferred:
- Experience building and deploying models in cloud environments.
- Hands-on experience with prompt engineering and LLM applications such as RAG
- Master's degree or higher in Engineering, Computer Science, Statistics, Mathematics, or related quantitative field (PhD preferred
- Passion for leading and developing data scientists through mentorship, feedback, and technical guidance.
- Ability to manage multiple projects and priorities simultaneously.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at
[email protected].
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Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
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As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.
Requisition code: 355332
Job ID 355332
