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# Lead AI and Data Science Engineer II- Marketing Measurement

- **Company:** Deloitte T.T.L.
- **Location:** Arlington, VA, United States
- **Experience:** Expert
- **Salary:** $122,000.0 - $240,500.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Computer Engineering, Data Validation, Python (Programming Language), Sql Optimization, Information Technology
- **Published:** November 7, 2026
- **Apply:** https://dejobs.org/x/x/9F697C3F862B49ED80708F8957688906/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
 * 10+ years of relevant experience in data science, marketing analytics, marketing measurement, or a related field.
 * Advanced SQL proficiency and substantial hands-on experience using Python or R for analysis.
 * Demonstrated experience leading marketing measurement or analytics initiatives.
 * Strong experience with MMM, causal inference, incrementality measurement, geo-based test-and-control design, experiment design, and A/B testing.
 * Ability to assess data quality and analytical methods, and to explain limitations and assumptions.
 * Proven ability to guide teams and communicate recommendations to senior business and technical stakeholders.
 * 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.

## Description

Are you an experienced, passionate pioneer in data and technology who wants to work in a collaborative environment? As an experienced Lead AI and Data Science Engineer II - 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., As a Lead AI and Data Science Engineer, you will provide technical and analytical leadership for marketing measurement initiatives. You will guide teams in designing rigorous measurement approaches, turning findings into investment recommendations, and improving the quality and consistency of analytics delivery.

 * Lead the design and evaluation of experimental and quasi-experimental analyses to measure marketing effectiveness and incremental impact.
 * Set measurement approaches for geo-based test-and-control studies, paid media, and platform ecosystems such as Google and YouTube.
 * Guide the application of causal inference, incrementality measurement, Marketing Mix Modeling (MMM), and A/B testing.
 * Translate measurement results into clear recommendations on marketing strategy and investment allocation.
 * Establish and promote standards for data validation, analytical quality, documentation, and communicating assumptions and limitations.
 * Review analytical work and provide technical direction, coaching, and feedback to team members.
 * Lead client workstreams, coordinate across business and technical teams, and manage priorities and delivery risks.
 * Present findings and recommendations to senior stakeholders in clear, business-friendly language; escalate material issues to engagement management.
 * Identify opportunities to improve measurement processes, workflows, and outcomes.
 * 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