AI and Data Science Engineer II

PowerToFly; Arizona; On-site; USD 87,000 - 171,000; Full time

Job summary

Deloitte’s Advertising, Marketing & Commerce team builds solutions that transform customer experiences through data-driven strategies, analytics, Generative AI, and transformative technologies. We work with clients across marketing, commerce, and service to drive growth and measurable customer value.

A successful candidate translates business goals into ML use cases, conducts exploratory analyses, and collaborates with analytics and data engineering teams to deliver impactful, scalable solutions.

Qualifications

• Bachelor's degree in a quantitative field is required.
• Experience translating business goals into ML use cases and model design.
• 2+ years applying data science or ML methods outside academia.
• Ability to travel about 30% on average.
• Authorized to work in the United States without sponsorship.

Responsibilities

• Translating business goals into machine learning use cases and model design approaches.
• Performing exploratory data analysis to identify relationships and attribution patterns.
• Applying clustering, sampling, feature transformation, and predictive modeling techniques.
• Building proofs of concept, interpreting model results and validating performance.
• Collaborating with clients and cross-functional teams throughout solution delivery.

Education

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

Job description

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 July 11, 2026

Work you'll do

• 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 deadlinesAbility 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-centrc 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
• 2+ 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 $86,700 - $170,900.

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.

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