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Associate Director, Analytics

Job in New York City, Richmond County, New York, USA
Listing for: Digitas North America
Full Time position
Listed on 2026-09-14
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Science Manager, Machine Learning/ ML Engineer
Job Description & How to Apply Below

Data Scientist Associate Director

Spark Foundry was built during the most transformative time in the history of advertising and marketing. We deliver everything a traditional media agency has to offer and have grown into one of the world's most successful agencies by helping brands evolve their marketing by leveraging identity, commerce, artificial intelligence, and more to connect with people. Transformation is part of our DNA.

Spark Foundry's start-up spirit delivers high-touch approaches and a never-ending desire to challenge the status quo. Combined with Publicis Media's powerhouse soul leveraging connected data assets, advanced AI applications, and investment clout, we "Bring HEAT to Brands." No other agency possesses the expertise that we do to address today's most pressing challenges to drive business transformation through media.

The Data Scientist Associate Director is responsible for advanced audience development and technology enablement. This role requires deep expertise in data science methodologies, client management, and cross-functional collaboration to deliver high-value insights and business impact. Working closely with client stakeholders and internal team leads are vital parts of the role, with accountability for the highest quality execution of a diverse array of client and project deliverables an imperative.

The role functions as an expert technical point of escalation, an analytical problem solver, and a technical translator to internal account teams and clients. It provides ongoing strategic account direction/vision for technology, process, and data science.

Responsibilities:

  • Guide the clients in clean room strategy and enable the use of this future proofed technology
  • Create and oversee propensity model development using machine learning for net new and refresh of existing audiences
  • QA and troubleshooting of 1P onboarded data to ensure acceptable match rates with client systems
  • Advance internal modeling practices to optimize core hour usage and drive activation efficiency
  • Perform audience analyses on existing customer segments and collaborate across internal teams to present actionable insights
  • Guide the development of statistically sound test designs, minimizing bias and delivering actionable outcomes
  • Stay informed about evolving media landscapes, providing research and insights to media teams and clients
  • Communicate insights effectively, ensuring understanding and application of data science outcomes by clients
  • Build impactful presentations that clearly outline the importance of analyses, the insights revealed, and recommended actions
  • Drive organic revenue growth through cross-selling and up-selling data science products across client divisions and categories
  • Index report Python script runs and maintenance for data organization that leads to more efficient analysis
  • Develop and implement a test-and-learn roadmap to continuously refine strategies and optimize data-driven decisions, ensuring clear measurement frameworks and actionable insights
  • Create and manage deliverables against detailed roadmap that align expectations with outcomes
  • Provide a high-value consultation layer on top of data science deliverables

Qualifications:

  • 6–8 years of experience in advertising, marketing, or data science fields, with agency experience strongly preferred
  • Quantitative educational background
  • Experience with Habu, Live Ramp, EPC, Snowflake cleanroom for audience design
  • Advanced proficiency in SQL, Python, and statistical modeling techniques (e.g., logistic regression, clustering) to manipulate data and draw insights from large data sets
  • Familiarity with cloud services (e.g., AWS, Redshift) and large-scale data management
  • Solid understanding of digital media buying, KPI development, and programmatic…
Position Requirements
10+ Years work experience
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