AI and Data Science Engineer I
About The Position
As an AI and Data Science Engineer I on Deloitte’s Advertising, Marketing & Commerce team, you will translate business goals into machine learning use cases and model design approaches. You will perform exploratory data analysis to identify relationships, opportunities to influence outcomes, and cross-channel attribution patterns; apply clustering, sampling, feature transformation, and predictive modeling techniques; and build proofs of concept, interpret model results, and validate solution performance. The role involves collaborating with clients and cross-functional analytics and data engineering teams throughout solution development and delivery. Deloitte’s Customer team helps organizations build customer relationships through strategy, analytics, Generative AI, technology, and design. The Advertising, Marketing & Commerce team creates customer-focused content and experiences and implements personalized marketing platforms across digital touchpoints, including AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. The role is available in 32 U.S. locations and requires an average of 30% travel. Recruiting for this role ends November 17, 2026.
Requirements
- Bachelor’s degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field.
- At least 1 year of industry experience outside academia applying data science or machine learning methods.
- Experience translating business goals into machine learning use cases and model design.
- Experience performing exploratory data analysis and developing predictive models.
- Ability to travel 30% on average, based on the work and clients served.
- Must be legally authorized to work in the United States without needing employer sponsorship now or in the future.
- Ability to work independently and collaboratively as part of a team.
- Effective written and verbal communication skills, attention to detail, and commitment to quality work.
- Ability to build and sustain professional relationships; strong interpersonal skills and professional demeanor.
- Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment and meet deadlines.
- Ability to lead projects or workstreams and provide clear guidance to others.
Nice To Haves
- Master’s degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field.
- Experience manipulating large marketing data sets and performing extract, transform, and load activities.
- Experience with boosted trees, logistic regression, classification techniques, unsupervised models, large language models, or experimental design.
- Experience with data sets generated in advertising technology or marketing technology environments.
- Experience presenting complex data insights to non-technical audiences.
- Experience with deep learning architectures or reinforcement learning.
Responsibilities
- Translate business goals into machine learning use cases and model design approaches.
- Perform exploratory data analysis to identify relationships, opportunities to influence outcomes, and cross-channel attribution patterns.
- Apply clustering, sampling, feature transformation, and predictive modeling techniques to develop and refine solutions.
- Build proofs of concept, interpret model results, and validate that solutions perform as intended.
- Collaborate with clients and cross-functional teams, including analytics and data engineering teams, throughout solution development and delivery.
- Lead projects or workstreams, manage and prioritize multiple tasks, meet deadlines, and provide clear guidance to others.
Benefits
- Broad range of employee benefits; specific benefits are not detailed in the posting.
- May be eligible to participate in a discretionary annual incentive program, subject to its rules and applicable factors.
- Opportunities for professional development through on-the-job learning, formal development programs, mentorship, and leadership opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
