Associate Director, Data Science

PHD; Chicago (IL); Hybrid; USD 70,000 - 125,000; Full time

Job summary

PHD, a global data-driven media agency, is seeking a skilled Data Scientist to join our Data & Analytics team in Chicago. This role focuses on delivering predictive models and audience insights to optimize planning and media execution.

Candidates should bring hands-on SQL, Python and R, plus ML knowledge, to work with cross-functional teams. We emphasize collaboration with Planning, Investment and Marketing Science teams to translate analytic results into actionable business outcomes.

Qualifications

• University degree in mathematics, computer science, statistics or related field
• 5-7 years of informatics work in academia, advertising, management consulting, marketing or digital consulting
• Hands-on programming with SQL, Python or R
• Knowledge of digital clean rooms and related concepts
• Certifications in data or analytics tools are a plus

Responsibilities

• Partner with Planning & Investment teams to provide expert hands-on Data Science support across the entire campaign lifecycle.
• Build advanced ML models to cluster and segment audiences and deploy them across platforms.
• Run descriptive and diagnostic analyses to measure campaign performance in clean rooms and via analytics platforms.
• Strong project management skills to set priorities and meet deadlines.
• Leverage coding to bring process efficiencies and scalable solutions.

Skills

SQL

Python

R

Machine learning basics

Data storytelling

Education

University degree in mathematics, computer science, statistics or related field

Tools

SQL

Python

R

Google ADH

Facebook Analytics

Amazon Marketing Cloud

Job description

Job Description

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

Job Description

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.

Team Overview

At PHD, we provide our clients with powerful and innovative media strategies, along with big ideas that are driven by insights. PHD Data Scientists deliver analytic solutions across a wide variety of client applications and help brands to connect better with the customers. They process and integrate big data in data clean rooms from media advertising platforms including the first party and the third-party data and support business insights and growth solutions.

Our data scientists build advanced predictive models utilizing machine learning and advanced statistic. PHD data scientists leverage data to address various types of marketing challenges such as audience creation, segmentation, identifying audience journey, optimization, digital attribution, customer retention, customer behavior prediction, and cross channel customer experience.

The Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients’ business goals.

Responsibilities

External facing responsibilities:

• Partner with Planning & Investment teams to provide expert hands-on Data Science support across the entire campaign lifecycle.


• Build advanced ML models to cluster and segment audiences, scale and deploy custom audiences across various platforms/publishers


• Run descriptive and diagnostic analyses to help measure campaign performance within clean rooms and/or other analytics platforms (e.g., Google ADH, Facebook advanced analytics, Amazon Marketing Cloud, etc.)


• Strong project management skills with an ability to set priorities, meet deadlines and know when to ask for help


• Leverage technical (coding) expertise to help bring about process efficiencies

Internal Facing Responsibilities

• Contribute to building decks and reports that help translate analytical results to internal and client teams


• Contribute to building DS Practice knowledge repository via decks, documents, and other artifacts


• Lead and train managers and other junior team members

Required Skills

• Hands-on programming language skills (SQL, Python, R, etc)


• Intermediate exposure to machine learning techniques, causal models, etc. to support the analysis of information


• Advanced presentation and communication skills


• Some experience working with non-technical teams


• Knowledge of digital clean rooms, and their related concepts and strategy


• Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online)


• Demonstrated domain knowledge of business/industry

Education and Experience

• A university degree in mathematics, computer science, statistics or related field, and 5-7 years of experience in informatics work in academia, advertising, management consulting, marketing or digital consulting

Knowledge of agency-side execution process is desirable, but not required

$70,000 - $125,000

Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.

Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us - we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.

Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice

For US Job Seekers

It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.

,

$70,000 - $125,000