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Omnicom

Data Science Director

  • Hybrid
  • 6+ years

Salary

$130,000 - 160,000/ year

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Description

Agency:

UM

Job Function:

Data and Analytics

Job Subfunction:

Data Science and AI

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 facin g responsibilities:
  • Partner with Planning & Investment teams to provide expert hands-on and well as strategic 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
  • R un 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.)
  • Help develop strategic analytical roadmaps to institutionalize data driven outcomes
  • Excellent project management skills with an ability to set and achieve goals, meet deadlines and act with a strong sense of urgency without compromising executional excellence
  • Leverage technical (coding) expertise to help bring about process efficiencies
  • Internal facing responsibilities:
  • Build and present decks that provide a compelling narrative to decode complex analytical results to technical and non-technical audiences
  • Help design and develop the DS practice knowledge repository and delegate tasks to junior resources to support vision
  • Lead and train direct reports and manage their career progression
  • Required Skills
  • Hands-on programming language skills (SQL, Python, R, etc )
  • Experienced in machine learning techniques , causal models, etc. to support the analysis of information
  • Advanced p resentation and c ommunication s kills
  • Experience working with non-technical teams
  • Clear understanding of digital clean rooms, and their related concepts and strategy
  • Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online)
  • Expert-level domain knowledge of business/industry
  • Education and Experience
  • A university degree in mathematics, computer science, statistics or related field, and 7-10 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
  • &xa;&xa;
  • $130,000 - $160,000
  • 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.
  • For US Job Seekers:

Where you’d work

Hybrid, 3 days a week in the office

You can work from

  • United States

About the company

Omnicom

Office in New York, United States

Also hiring in Toronto, Canada, Chicago, United States, Atlanta, United States and 20 more places

3 of their 307 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 2 red flags

Still hiring?

14 checks

1 red flag

How crowded?

7 checks

1 red flag

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  • Must-haves
Details13 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • SQL
Seniority
Director
Type
Full-time
Specialty
Data Science
Region
United States
Pay period
Annual
Show 7 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science
Seniority
Director
Experience
10+ years
Tech stack
  • Python
  • SQL

Location

Work model
Hybrid
Region
United States
Office
  • New York, United States
Remote from
  • United States
Days in the office
3 days

Compensation

Salary
$130,000 - 160,000 / year
Pay period
Annual

Employment

Type
Full-time

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