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Adtech Engineer Jobs in Michigan (NOW HIRING)

AI and Data Science Engineer II

Detroit, MI · On-site

$113K - $136K/yr

Our in-house agency engages customers throughout their journey, working on projects like AdTech ... Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer ...

We are a team of strategists, data scientists, operators, creatives, designers, engineers, and ... Our in-house agency engages customers throughout their journey, working on projects like AdTech ...

We are a team of strategists, data scientists, operators, creatives, designers, engineers, and ... Our in-house agency engages customers throughout their journey, working on projects like AdTech ...

Familiarity of the Adtech ecosystem including ad network, ad exchange, SEM platform, DSP, SSP, and ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

Familiarity of the Adtech ecosystem including ad network, ad exchange, SEM platform, DSP, SSP, and ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

Familiarity of the Adtech ecosystem including ad network, ad exchange, SEM platform, DSP, SSP, and ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

Familiarity of the Adtech ecosystem including ad network, ad exchange, SEM platform, DSP, SSP, and ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

Familiarity of the Adtech ecosystem including ad network, ad exchange, SEM platform, DSP, SSP, and ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

Familiarity of the Adtech ecosystem including ad network, ad exchange, SEM platform, DSP, SSP, and ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

Familiarity of the Adtech ecosystem including ad network, ad exchange, SEM platform, DSP, SSP, and ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

Adtech Engineer information

What is the difference between Adtech Engineer vs Data Engineer?

AspectAdtech EngineerData Engineer
CredentialsBachelor's in Computer Science, relevant certifications in ad tech or digital marketingBachelor's in Computer Science, certifications in data management or cloud platforms
Work EnvironmentDigital advertising agencies, ad tech companies, marketing teamsData-driven companies, tech firms, analytics teams
Industry UsageUsed in digital advertising, programmatic ad platforms, marketing techUsed in data infrastructure, big data processing, analytics pipelines

Adtech Engineers focus on developing and maintaining advertising technology platforms, while Data Engineers build and manage data pipelines and infrastructure. Both roles require technical skills but serve different functions within digital marketing and data management environments.

What are some common challenges an Adtech Engineer faces when integrating new advertising technologies with existing platforms?

Adtech Engineers often encounter challenges when integrating new advertising technologies, such as ensuring compatibility with legacy systems, maintaining data privacy compliance, and minimizing disruption to current ad delivery pipelines. Balancing rapid implementation with thorough testing can be complex, especially given the fast-paced evolution of ad tech standards and third-party tools. Successful engineers proactively collaborate with product managers, data teams, and external vendors to troubleshoot issues and develop scalable solutions that support the organization's advertising objectives.

What are Adtech Engineers?

Adtech Engineers are technology professionals who design, develop, and maintain software systems used in the digital advertising industry. They work on platforms that enable the buying, selling, targeting, and analysis of online ads, such as ad servers, real-time bidding systems, and data management platforms. Their role often involves integrating advertising technologies, optimizing ad delivery, and ensuring compliance with privacy regulations. Adtech Engineers collaborate with product managers, data scientists, and marketers to deliver effective advertising solutions.

What are the key skills and qualifications needed to thrive as an Adtech Engineer, and why are they important?

To thrive as an Adtech Engineer, you need a solid background in computer science, programming (especially JavaScript, Python, or Java), and a clear understanding of digital advertising technologies and protocols. Familiarity with ad servers, programmatic platforms (like Google Ad Manager or The Trade Desk), SDKs, APIs, and industry certifications such as IAB Digital Ad Operations are highly valued. Strong problem-solving, communication, and collaboration skills help you navigate complex integrations and work effectively with product, sales, and analytics teams. These skills are essential to optimize ad delivery, ensure technical compliance, and drive successful advertising outcomes in a rapidly evolving ecosystem.
What are popular job titles related to Adtech Engineer jobs in Michigan? For Adtech Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Adtech Engineer jobs in Michigan look for? The top searched job categories for Adtech Engineer jobs in Michigan are:
What cities in Michigan are hiring for Adtech Engineer jobs? Cities in Michigan with the most Adtech Engineer job openings:
AI and Data Science Engineer II

AI and Data Science Engineer II

Deloitte

Detroit, MI • On-site

$113K - $136K/yr

Other

Posted 8 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


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

As an AI and Data Science Engineer II 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
  • 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.

#Customer_US

#AMC_US

Qualifications:

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

As an AI and Data Science Engineer II 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
  • 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.

#Customer_US

#AMC_US

Education:Bachelor's DegreeEmployment Type:

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