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Senior Director, Data Science

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: PHD
Full Time position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Science Manager, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 180000 - 230000 USD Yearly USD 180000.00 230000.00 YEAR
Job Description & How to Apply Below
Job Description

PHD Media:
Senior Director, Data Science

PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world’s leading brands. Brilliant media thinking is in our DNA. A culture of thought‑leadership, creativity and innovation has seen us grow from a challenger agency in the UK, to a global leader with over 6,000 employees in over 100 offices worldwide.

We combine the latest industry insight with the best creative minds to produce planning innovation and create award‑winning work for some of the world’s largest advertisers. Finding a better way is our ethos and sums up how we approach everything – from a new client brief to the way we work.

Agency

PHd

Job Function

Data and Analytics

Job Subfunction

Data Science and AI

Role Overview

We are currently seeking a Senior Director to join our Data Science team. The ideal candidate will be a data science leader with the responsibility of managing expectations of internal and external stakeholders, performing predictive modeling and data queries across a multitude of platforms in Advertising and Marketing Technology domains.

You will develop compelling actionable insights through quantitative analysis, innovative thinking, and storytelling with data. You will contribute to the delivery of smart marketing and strategic advice through the combination of data & insights gleaned through statistical and machine learning models, as well as data mining.

By applying machine learning and data query methods, you will be a liaison between data and our client’s decision‑making process. You will also inform internal and external stakeholders and prospective clients on ways of improving business processes.

Areas of Responsibility
  • Maintain a productive relationship with clients at the peer level or higher to ensure they are informed of any new activities or updates to existing projects
  • Participate on multi-disciplinary project teams developing marketing strategies for existing customers, as well as prospective clients
  • Coach and manage the learning path of other Data Science team members by standardizing processes and owning documentation
  • Present complex reporting, models, and dashboards of technical work to both informed and uninformed audiences through data storytelling to support media investment
  • Set up analysis parameters in partnership with Advertiser, Media Strategy and Digital Investment team
  • Build modeling and machine learning capabilities by deploying algorithms on top of our vast number of datasets, e.g., clustering, look‑a‑like modeling
  • Support Digital Attribution and Advertising Lift models built in data clean rooms
  • Evaluate model performance to determine cut‑off points and audience targeting pools for deployment, e.g., lift charts
  • Obtain data from various sources, including but not limited to Amazon storage service S3, Omnicom 3P data partnerships, data clean rooms from walled‑gardens, e.g., Google Ads Data Hub, Facebook Advanced Analytics, Amazon Marketing Cloud
  • Deploy scalable solutions to our cloud‑based infrastructure to process, visualize and analyze data
Requirements
  • 10+ years of experience with predictive modeling, databases, computational simulation, clustering, machine learning, and remote computing in academia or industry
  • 8+ years of industry experience with Python, SQL, R, and other similar statistical computing environments
  • Very strong written and verbal communication skills; thrive in a rapidly evolving environment
  • Ability to clearly explain complex technical ideas to multiple audiences both verbally and in writing
  • Graduate degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields
  • Experienc…
Position Requirements
10+ Years work experience
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