Director, Advanced Analytics

About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world‑class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. WPP Media is WPP's AI‑driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working. About Mindshare: A Leading WPP Media Brand This role is within Mindshare, a leading brand within WPP Media, where you will be instrumental in driving Good Growth for clients and all stakeholders through intentional media strategies. Role Summary & Impact We are looking for a data scientist expert in advanced analytics who will define and implement advanced analytics (consumer journey, advanced segmentation, churn/switcher models, propensity, demand forecast model, media mix modelling, multi‑touch attribution, predictive modelling, lifetime value analysis, normalization work, multi‑variables correlation models …). You will be a strategic thinker ideating based on hypotheses leading to the creation of advanced analytics solutions and services for Wavemaker clients. Create measurement hypotheses, identify client’s data (1PD) and other data sets and preferred technique/model. Research and recommend the best analytic approaches to solving the most difficult marketing problems facing our clients. Define a test & learn agenda to evolve the data science practice. Conceptualize, create, and deploy proprietary models to enhance audience strategy, audience‑driven planning, and activation: consumer journey, advanced segmentation, churn/switcher models, propensity, demand forecast model, multi‑touch attribution, predictive modeling, lifetime value analysis, normalization work, multi‑variables correlation models). Document requirements supporting each proprietary model to contribute to the creation of scalable data science capabilities for all Wavemaker’s clients, provide consultative input & approval of data architecture implementation. Skills and Experience Bachelor’s degree in Marketing, Advertising, Economics, Computer Science, Information Systems, Business Analytics, or related field. OR equivalent professional work experience. 8+ years of hands‑on relevant work experience in data science application and in manipulating large unstructured and structured data sets to create insights. Ph.D. which required heavy use of statistics, data science, machine learning, etc. is preferred but not required. Knowledge with marketing analytics, especially digital analytics, and media analytics highly preferred – Agency experience is a plus. Ability to operate in clean rooms (ADH, AMC, LiveRamp Safe Haven and others), analytics environments as well as use geospatial, Artificial Intelligence and Machine Learning to model, scale, and predict. Strong statistics skills such as distributions, statistical testing, regression, etc. Proficiency in programming languages: Python, SQL; Knowledge of R. Natural curiosity for exploring data and finding the untold story. Experience with common data science toolkits (Numpy, Pandas, Tensorflow…) Strong speaking and written professional communication skills. Strong analytical, critical thinking, and problem‑solving skills. The ability to thrive in a fast‑paced and deadline‑driven environment. Curious and excited to learn. High sense of accountability and ownership. Collaborative with a partnership mindset. Life at WPP Media & Benefits Our comprehensive benefits package includes competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days. WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We adopt a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. Please read our Privacy Notice for more information on how we process the information you provide. US Pay Range

$100,000 – $230,000 USD

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