Associate Director, Data Science

Job Description What does Platform Data Sciences do? Working closely with both the Planning and Analytics teams, Data Sciences designs and implements statistical models and machine learning solutions that tie our clients’ marketing to real‑world business goals. We use these models to understand past performance, predict future performance, and inform and optimize future decisions. Our work brings our clients closer to their marketing, helping them understand if they are talking to the right people in the right way. What does a successful Associate Director of Data Science look like? We don’t all look the same, and we don’t expect you to, either. Successful members of our team generally have a passion for emerging tech and media, bring a data‑driven approach to decision‑making, have a fresh perspective and share it in a positive way, don’t shy away from a challenge, and are always hungry to learn more. Among Associate Director candidates, we look for prior experience in analytics, especially digital media and customer audiences segmentation/modeling. You should be seasoned at representing your team to external clients and internal leadership. We hope you have a love for numbers and know how to bring data to life through a compelling story. We’re also hoping you have at least 4 years of prior professional experience. Responsibilities You will work very closely with planning, audience strategy and analytics teams to help them solve marketing problems. They also contribute crucial intellectual capital to the data science team by sharing knowledge and designing models and Data Science solutions based on their clients’ business needs and using data to tell great stories. An AD will also help formulate a vision for their accounts and bring that vision to life. As such, an AD is a mentor, manager, project manager, and thought leader, all at the same time. Day‑to‑day responsibilities include: Design, estimate, tune, score and maintain advanced statistical and mathematical models (e.g. classification, numeric forecasts, customer segmentation, customer propensity, attribution, etc.). Produce accurate statistical analysis and ensure high quality of the data analysis produced. Interpret, document and present/communicate analytical results to multiple business disciplines, providing conclusions and recommendations. Take analytical objectives and define data requirements. Extract, clean, and transform both customer level, and aggregated data for analysis, modelling, segmentation and reporting. Qualifications 4+ years of work experience in quantitative analysis with proven results in leveraging customer/transaction to address business objectives Experience with customer level data within audience models Bachelor’s degree in a STEM or other related field, or equivalent work experience. Strong knowledge of Relational Databases and SQL programming. Highly proficient in at least one popular programming language used for Machine Learning, such as Python or R. Solid understanding of mathematical modeling, probability and statistics, and the design and simulation of stochastic systems. Familiarity with the mathematics behind important statistical learning algorithms such as ARIMA, Linear Regression, Logistic Regression, Centroid‑based and Hierarchical Clustering, Principal Component Analysis (PCA), Decision Trees/Random Forest, Bayesian Inference, Markov Chain Monte‑Carlo (MCMC). Familiarity with common advanced marketing analytics solutions such as Customer Segmentation, Marketing Mix Modeling (MMM), Multi‑touch Attribution (MTA) Familiarity with the capabilities and mechanics of a broad range of advertising media channels Familiarity with the capabilities and mechanics of a broad range of marketing measurements and technologies such as Ad Servers, DSP, DMPs, CRMs, and Syndicated Research. Strong communication skills. Ability to speak and write professionally. Ability and comfort with presenting work by phone or within small groups. Preferred Experience: Knowledge of other Machine Learning techniques such as Natural Language Processing (NLP) and text mining, and Neural Networks is a plus. Benefits Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. All your information will be kept confidential according to EEO guidelines. Compensation Range: $87,210 - $137,195 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third‑party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 6/1/26. #J-18808-Ljbffr UNAVAILABLE