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.
Work you’ll do/Responsibilities
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
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
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated solutions across software, data, AI, networks, and cloud infrastructure. These solutions are powered by engineering for business advantage, helping transform mission-critical operations. AI & Data teams help clients modernize technology and data platforms while delivering scalable, high-value outcomes tailored to their business needs.
Qualifications
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.
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 $122,000 to $240,500.
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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Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers
