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 geospacial, 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 passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising. We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.

That's why we've adopted 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 note that while our philosophy is the same across WPP, benefits may vary by office/country.

The base salary range for this position at the time of this posting is indicated below. Individual compensation varies based on job-related factors, including location, business needs, level of responsibility, experience, and qualifications. We offer a competitive benefits package, go to https://mybenefits.wpp.com/public/welcome for more details.

US Pay Range

$100,000-$230,000 USD