AI and Data Science Engineer III - Marketing Measurement
About The Position
As an AI and Data Science Engineer III – Marketing Measurement, you will support Data & Analytics initiatives across business product teams in a scaled staff augmentation model, working with a broader team of approximately 235 onshore and offshore resources. The role focuses on designing and executing rigorous analyses to measure the impact of marketing initiatives and customer strategies. It is part of Deloitte’s Project Delivery Talent Model, tailored to long-term, onsite client service delivery, with limited travel requirements. You will evaluate experimental and quasi-experimental results; design and assess geo-based paid-media test-and-control approaches; apply causal inference and incrementality methods; interpret Marketing Mix Modeling outputs; and support experiment design, execution, and analysis, including A/B testing. The work also involves analyzing marketing and customer data with SQL and Python or R, validating data, documenting assumptions and limitations, and turning analytical findings into clear recommendations for stakeholders. The position includes independently and collaboratively leading client engagement workstreams focused on improvement, optimization, and transformation. You will work with Engagement Managers, project team members, and functional and technical representatives, escalating matters requiring additional attention. Deloitte’s AI & Engineering teams build and operate integrated solutions across software, data, AI, networks, and cloud infrastructure; AI & Data teams help clients modernize technology and data platforms and deliver scalable outcomes.
Requirements
- At least 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 a related IT discipline, or equivalent experience.
- Ability to work independently and collaboratively as part of a team.
- Effective written and verbal communication skills, meticulous attention to detail, and commitment to quality work.
- Ability to build and sustain professional relationships; strong interpersonal skills and a professional demeanor.
- Ability to lead projects or workstreams, manage and prioritize multiple tasks in a fast-paced and dynamic environment, meet deadlines, and provide clear guidance to others.
- Ability to travel an average of 10%, based on assigned work and clients or industries served.
Nice To Haves
- Experience with campaign effectiveness management.
- Experience with customer segmentation.
- Experience measuring promotions management and effectiveness.
- Additional experience in marketing analytics.
Responsibilities
- 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 Google and YouTube platform ecosystems.
- 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.
- Analyze marketing and customer data using advanced SQL and Python or R.
- 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 functional and technical representatives, escalating matters that require additional attention.
- Independently and collaboratively lead client engagement workstreams focused on process improvement, optimization, and transformation, including implementing leading-practice workflows, addressing quality deficits, and driving operational outcomes.
- Manage and prioritize multiple tasks, meet deadlines, provide guidance to others, and lead projects or workstreams.
Benefits
- Potential eligibility to participate in a discretionary annual incentive program, subject to program rules and performance factors.
- Professional development opportunities, including on-the-job learning, formal development programs, leadership opportunities, and mentorship.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
