Marketing Data Scientist

Job Description: Do you love building Marketing Mix Models more than presenting them? If you're the type of person who gets excited about model architecture, parameter tuning, validation frameworks, and uncovering the story behind the data, keep reading. We're looking for an Associate Director, Attribution to be the technical powerhouse behind our Attribution team. This is not a traditional consulting role focused on endless client meetings. Instead, you'll be the expert responsible for building, refining, and advancing sophisticated measurement solutions that help some of the world's most recognized brands make smarter marketing decisions. You'll work alongside talented marketing scientists, engineers, and media experts to shape the future of measurement through Marketing Mix Modeling (MMM), attribution, forecasting, causal measurement, and advanced analytics. What You'll Do Lead end-to-end development of advanced Marketing Mix Models from data strategy through model delivery and ongoing optimization. Build, validate, and improve MMM frameworks using both Bayesian and Frequentist methodologies . Manage multiple modeling engagements simultaneously across a diverse portfolio of clients and industries. Partner with media, data engineering, and analytics teams to transform business objectives into actionable measurement strategies. Deliver insights that drive optimization of media and marketing investments across online and offline channels. Serve as the technical lead for project teams, providing guidance, quality control, and mentorship to junior modelers. Contribute to the evolution of our measurement methodologies and help push beyond traditional MMM approaches. What Makes You a Great Fit Required Experience Significant hands-on experience building MMM models from scratch and leading full model development lifecycles. Deep expertise in both Bayesian and Frequentist marketing mix modeling techniques . Proven success managing multiple MMM engagements simultaneously, ideally across 10+ client models. Strong foundation in statistical modeling, attribution, forecasting, and marketing measurement frameworks. Experience mentoring analysts, managers, or junior modelers in a project-based environment. Proficiency with Databricks and modern analytics environments. Ability to connect business questions to rigorous measurement solutions. Preferred Experience Retail Restaurants / QSR Financial Services Pharmaceutical analytics experience is a plus. What Success Looks Like You're not just running models. You're shaping measurement strategy. You'll thrive here if you: Are genuinely passionate about modeling and measurement science. Enjoy solving complex analytical challenges. Have a natural curiosity for emerging methodologies and AI-enabled analytics. Want to influence project direction through expertise rather than formal people management authority. Love mentoring others while continuing to deepen your own technical mastery. Why Join Dentsu? At dentsu, you'll work on enterprise-scale measurement programs spanning MMM, causal impact analysis, and machine learning attribution solutions for leading global brands. You'll join a collaborative environment where technical excellence is valued, innovation is encouraged, and your work directly influences client investment decisions. This is an opportunity for a true MMM specialist to remain deeply technical, shape the future of marketing measurement, and work alongside some of the industry's brightest minds. Ready to build what's next in measurement and attribution? We'd love to meet you. At dentsu, we believe great work happens when we’re connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office. The annual salary range for this position is $113,000 - $170,000. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law. Benefits available with this position include: • Medical, vision, and dental insurance, • Life insurance, • Short-term and long-term disability insurance, • 401k, • Flexible paid time off, • At least 15 paid holidays per year, • Paid sick and safe leave, and • Paid parental leave. Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit . To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps. Location: New York Brand: Carat Time Type: Full time Contract Type: Permanent Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color , national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to by clicking on the link to let us know the nature of your accommodation request and your contact information. We are here to support you.