Harrison and Star

Director, Data Science

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

Qualifications

  • 5-7 years of experience in data science, analytics, or related fields
  • Proficiency in programming languages such as SQL, Python, and R
  • Strong understanding of machine learning techniques and causal models
  • Excellent communication skills, both written and verbal
  • Experience collaborating with cross-functional teams, including non-technical members
  • Familiarity with digital clean rooms and related data privacy strategies
  • Relevant certifications in data analysis or programming are a plus

Responsibilities

  • Partner with Planning & Investment teams to deliver strategic data science support during campaigns
  • Develop advanced machine learning models for audience segmentation and deployment
  • Conduct descriptive and diagnostic analyses to assess campaign performance
  • Create strategic analytical roadmaps to foster data-driven decision-making
  • Manage projects and meet deadlines while maintaining high-quality execution
  • Utilize coding skills to enhance process efficiencies
  • Build and present analytical insights in a compelling manner for diverse audiences

Benefits

  • Opportunity to develop leadership skills through training and mentorship of junior team members
  • Access to a robust knowledge repository for data science practices
  • Dynamic work environment with a strong focus on collaboration and innovation
  • Chances for professional growth within a well-established agency
  • Exposure to cutting-edge analytics tools and platforms
  • Supportive culture emphasizing career progression and team development
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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