> Markdown version of [/jobs/ext/4605566-ai-and-data-science-engineer-iii-marketing-measurement](https://www.wearedevelopers.com/jobs/ext/4605566-ai-and-data-science-engineer-iii-marketing-measurement). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI and Data Science Engineer III - Marketing Measurement - **Company:** Deloitte T.T.L. - **Location:** Stamford, CT, United States - **Experience:** Expert - **Salary:** $113,300 - $188,900 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Computer Engineering, Customer Data Management, Data Validation, Python (Programming Language), SQL Databases, Sql Optimization, Information Technology, Data Analytics - **Published:** November 6, 2026 - **Apply:** https://dejobs.org/x/x/73D24C4C289D48CCB467F593123F5E71/job/ ## About the Role * 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, Required * 6+ years of relevant experience in data science, marketing analytics, marketing measurement, or a related field. * Advanced proficiency in SQL and hands-on experience using Python or R for analysis. * Experience in marketing analytics. * Familiarity with Marketing Mix Modeling (MMM), including interpreting outputs and their implications for investment decisions; * Experience with causal inference and geo-based test-and-control design for paid media measurement, including platforms such as Google and YouTube. * Experience with incrementality measurement, experiment design, running experiments, and A/B testing. * Experience with data validation and quality assurance. * Ability to communicate analytical findings and recommendations clearly to stakeholders in business-friendly language. * Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience * Limited immigration sponsorship may be available * Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve Preferred * Experience with campaign effectiveness management. * Experience with customer segmentation. * Experience measuring promotions management and effectiveness. * Additional experience in marketing analytics. 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 $113,300 to $188,900. 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. ## Description Are you an experienced, passionate pioneer in data and technology who wants to work in a collaborative environment? As an experienced AI and Data Science Engineer III - Marketing Measurement, you will have the opportunity to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model tailored specifically for long-term, onsite client service delivery., You will support Data & Analytics initiatives across numerous business product teams in a scaled staff augmentation model, working with a broader team of approximately 235 onshore and offshore resources. As a Senior Data Scientist, Marketing Measurement, you will design and execute rigorous analyses to measure the impact of marketing initiatives and customer strategies. * Evaluate experimental and quasi-experimental results to assess the effectiveness and incremental impact of marketing initiatives. * Design and assess geo-based test-and-control approaches for paid media measurement, including platform ecosystems such as Google and YouTube. * Apply causal inference and incrementality measurement techniques to inform marketing investment decisions. * Interpret Marketing Mix Modeling (MMM) outputs and explain their implications for marketing strategy and investment allocation. * Support experiment design, execution, and analysis, including A/B testing. * Use advanced SQL and Python or R to analyze marketing and customer data. * Validate data, perform quality checks, investigate discrepancies, and document analytical assumptions and limitations. * Translate complex analytical findings into clear, business-friendly recommendations for stakeholders. * Strengthen measurement approaches across marketing programs and customer strategies. * Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management * Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes