Data & AI Lead for Health Campaigns & Audiences

Publicis Groupe Holdings B.V

New York (NY)

On-site

USD 89,000 - 142,000

Full time

14 days+
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Job summary

Saatchi & Saatchi Health in New York is seeking a data scientist to build audiences and AI-enabled analytics for healthcare campaigns. You will work at the intersection of claims analytics and applied AI, owning end-to-end projects and delivering outputs that media and strategy partners can activate.

The role emphasizes SQL proficiency, Python modeling, statistics, and the ability to explain complex analyses to non-technical stakeholders.

Qualifications

  • 5-7 years in data science, marketing analytics, or a related analytical role.
  • Advanced SQL. Production-grade queries against a cloud warehouse (Amazon Redshift).
  • Python for analysis and modeling, including pandas, scikit-learn, and exposure to gradient boosting.

Responsibilities

  • Build HCP propensity, lookalike, and segmentation models from medical claims and related analyses.
  • Write production-grade SQL against large, messy claims data.
  • Help build AI products, client reporting, and new-business audience generation.
  • Define quality standards for AI-generated outputs and build evaluation sets.
  • Read campaign performance and assist with holdout, geo, and matched-market tests.
  • Build dashboards and reusable tooling to scale analyses.
  • Present to Strategy, Media, Account, and Creative teams and clients.

Skills

Advanced SQL
Python (pandas, scikit-learn)
Statistics & experimentation
Stakeholder communication
Applied AI curiosity

Tools

Amazon Redshift
Git / Version control

Job description

Saatchi & Saatchi Health in New York is seeking a data scientist to build audiences and AI-enabled analytics for healthcare campaigns. You will work at the intersection of claims analytics and applied AI, owning end-to-end projects and delivering outputs that media and strategy partners can activate.

The role emphasizes SQL proficiency, Python modeling, statistics, and the ability to explain complex analyses to non-technical stakeholders.

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