Data & AI Lead - End-to-End Healthcare Analytics

Publicis Groupe ANZ; New York (NY); On-site; USD 89,000 - 142,000; Full time

Job summary

Saatchi & Saatchi Health in New York is seeking a senior data scientist to own end-to-end analytics projects, building audiences from medical claims, pharmacy data, and the patient journey to enable AI-driven campaigns.

You will write production-grade SQL against large datasets, contribute to AI products, and establish quality standards for outputs while presenting insights to Strategy, Media, and Creative teams.

Qualifications

• 5–7 years in data science or related analytics role.
• Advanced SQL. Production-grade queries against cloud warehouse (Amazon Redshift).
• Python for analysis and modeling (pandas, scikit-learn).
• Strong foundation in statistics and experimentation (holdouts, testing methods, causation).
• Ability to explain complex analyses to non-technical stakeholders and defend methodology.

Responsibilities

• Build audiences: propensity, lookalike, and segmentation models from claims and patient journey data.
• Write production-grade SQL against large, messy claims data.
• Help build AI products: synthetic panels, automated reporting, new-business audience generation.
• Define quality standards for AI outputs and build evaluation sets/scoring frameworks.
• Interpret campaign performance and support holdout/match-market tests; design dashboards and reusable tooling.
• Create scalable, reusable tooling and dashboards; establish standards as the team grows.
• Present insights to Strategy, Media, Account, and Creative teams.

Skills

Advanced SQL

Python for analysis

Statistics & experimentation

Communicating to non-technical

Applied AI curiosity

Tools

Amazon Redshift

Pandas/Scikit-learn

Streamlit

Job description

Saatchi & Saatchi Health in New York is seeking a senior data scientist to own end-to-end analytics projects, building audiences from medical claims, pharmacy data, and the patient journey to enable AI-driven campaigns.

You will write production-grade SQL against large datasets, contribute to AI products, and establish quality standards for outputs while presenting insights to Strategy, Media, and Creative teams.