Director, Advanced Analytics

Posted 5 Days Ago
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New York, NY, USA
In-Office
100K-230K Annually
Senior level
AdTech • Marketing Tech
The Role
Lead design and delivery of advanced analytics and predictive models (journey, segmentation, churn, propensity, MMM, MTA, LTV). Create measurement hypotheses, identify client first‑party and other data, recommend analytic approaches, define test & learn agendas, deploy proprietary models, document requirements for scalable capabilities, and consult on data architecture. Operate in clean rooms and apply geospatial, AI/ML techniques to drive audience strategy and media activation.
Summary Generated by Built In

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.

For more information, visit wppmedia.com.

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 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.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment.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.
Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide.

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

Please read our Privacy Notice for more information on how we process the information you provide. 

Skills Required

  • Bachelor's degree in Marketing, Advertising, Economics, Computer Science, Information Systems, Business Analytics, or related field OR equivalent experience
  • 8+ years hands-on data science application experience
  • Experience manipulating large structured and unstructured datasets to create insights
  • Proficiency in Python
  • Proficiency in SQL
  • Knowledge of R
  • Experience with data science toolkits (NumPy, Pandas, TensorFlow or similar)
  • Strong statistics skills (distributions, statistical testing, regression)
  • Experience building advanced analytics and predictive models (segmentation, churn, propensity, forecasting, MMM, MTA, LTV)
  • Ability to operate in clean rooms (ADH, AMC, LiveRamp Safe Haven, etc.) and analytics environments
  • Experience applying geospatial analysis, AI and Machine Learning to modeling and prediction
  • Marketing and media analytics knowledge; agency experience a plus
  • Ph.D. with heavy use of statistics/data science is preferred
  • Strong oral and written communication skills
  • Strong analytical, critical thinking, and problem-solving skills
  • Ability to thrive in a fast-paced, deadline-driven environment; high accountability and collaborative mindset

WPP Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about WPP and has not been reviewed or approved by WPP.

  • Wellbeing & Lifestyle Benefits Wellbeing support includes a global Employee Assistance Programme and company-wide initiatives, with modern multi‑agency campuses and on‑site amenities positioned as part of the experience. This indicates a holistic focus across mental, physical, emotional, and financial wellbeing.
  • Retirement Support Retirement offerings commonly include a US 401(k) with employer matching, though specifics can differ by operating company. This provides a recognizable savings framework that many candidates expect in large employers.
  • Parental & Family Support Family benefits can be above average in parts of the network, such as VML’s paid parental leave for adoptive and foster parents. These signals suggest meaningful support for certain family‑forming needs.

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The Company
HQ: London
90,589 Employees

What We Do

WPP is a creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities.

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