AI and Data Science Engineer III

Position Summary

Our Deloitte Customer team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We can enhance customer experiences and drive sustained growth and customer value creation and capture, through customer and commercial strategies, digital products and innovation, marketing, commerce, sales, and service. We are a team of strategists, data scientists, operators, creatives, designers, engineers, and architects.

Our team balances business strategy, technology, creativity, and ongoing managed services to solve the biggest problems that affect customers, partners, constituents, and the workforce.

Recruiting for this role ends on December 5, 2026

Work you'll do

As an AI and Data Science Engineer III on the Advertising, Marketing & Commerce team, you will be responsible for…

Translating business goals into machine learning use cases and model design approaches.

Performing exploratory data analysis to identify relationships, opportunities to influence outcomes, and cross-channel attribution patterns.

Applying clustering, sampling, feature transformation, and predictive modeling techniques to develop and refine solutions.

Building proofs of concept, interpreting model results, and validating that solutions perform as intended.

Collaborating with clients and cross-functional teams, including analytics and data engineering teams, throughout solution development and delivery.

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 Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth.

Qualifications

Required:

Bachelor’s degree in engineering, mathematics, physics, machine learning, statistics, computer science, or another quantitative field

5+ years of industry experience outside of 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 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 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

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 $137,500 - $193,600.

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.

This position is aligned with the Core Talent Model. To view the associated benefit package, please reference this document https://resources.deloitte.com/:b:/r/sites/dnet-tod-us/Shared Documents/Benefits/USBenefitsJourneyCDandETAM.pdf?csf=1&web=1&e=pKjS1C.

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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 USTalentCICInbox@deloitte.com.

Recruiting tips

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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.

Our people and culture

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.

Our purpose

Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.

Professional development

From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

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.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers

Requisition code: 370020

• Bachelor’s degree in a quantitative field and 5+ years industry experience applying data science or machine learning
• Experience translating business goals into machine learning use cases and performing exploratory data analysis
• Legal authorization to work in the U.S. without employer sponsorship and ability to travel 30% on average