Harrison and Star

Director, Data Science

Harrison and Star$145K — $175K *
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Hands-on programming skills in SQL, Python, R, etc.
  • Experience in applying machine learning techniques and causal models.
  • Strong presentation and communication skills for diverse audiences.
  • Ability to work effectively with non-technical teams.
  • Understanding of digital clean rooms and core concepts.
  • Relevant certifications in Meta (Blueprint), SQL, Python, or R.
  • Deep knowledge of the business and industry.

Responsibilities

  • Partner with Planning & Investment teams for hands-on and strategic Data Science support in campaigns.
  • Develop advanced machine learning models for audience segmentation and deployment.
  • Conduct analyses to measure campaign performance using analytics platforms like Google ADH and Facebook Advanced Analytics.
  • Create strategic analytical roadmaps that support data-driven outcomes.
  • Demonstrate project management skills to meet deadlines without sacrificing quality.
  • Use coding expertise to improve process efficiencies.
  • Build and present analytical decks to explain results to varied audiences.

Benefits

  • Opportunity to work with top-tier clients and cutting-edge technologies.
  • Be part of a data-driven team at a leading agency.
  • Collaborative work environment with marketing science teams.
  • Leadership opportunities through mentoring and training junior staff.
  • Access to professional development resources and certifications.
Full Job Description
Agency:
Omnicom Media

Job Function:
Data and Analytics

Job Subfunction:
Data Science and AI

Job Description:

Director, Data Science

Location: New York/Chicago/Los Angeles

Reports To: Senior Director, Data Science

Department: Marketing Sciences and Technology

Position Type: Full Time

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 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


  • 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.)


  • 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 presentation and communication skills


  • 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


145000-175000

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.

About Harrison and Star

Harrison and Star is a healthcare advertising agency that provides marketing and advertising services to pharmaceutical and biotechnology companies. The company offers a range of services including brand strategy, creative development, digital marketing, and market research. Harrison and Star was founded in 1986 and is headquartered in New York, New York.
Learn more about Harrison and Star
Size
500 employees
Industry
Founded
1986
NASDAQ

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