Senior Data Scientist & AI Analytics Lead

Publicis Groupe Holdings B.V; United States; Remote; USD 113,000 - 239,000; Full time

Benefits offered by this job

Flexible time off

Paid holidays

Parental leave

Comprehensive health coverage

Job summary

Epsilon’s Data Science & AI practice within Analytics Services seeks a Senior Staff Data Scientist to lead delivery of advanced analytics and AI solutions for clients. You will own end-to-end engagements, guiding teams across analytics, data engineering, and technology to deliver measurable business impact.

The role demands client-facing executive presence, strong technical depth, and the ability to translate complex data into actionable insights and strategic recommendations.

Qualifications

• Bachelor’s degree or higher in a quantitative field; master’s degree preferred.
• 10+ years of analytics, digital media analytics or related consulting with client-facing leadership.
• Proven experience leading and developing teams, including coaching and performance management.
• Strong hands-on and leadership experience with Python, SQL and Databricks; Adobe Analytics, Google Analytics, Power BI and Tableau a plus.

Responsibilities

• Own end-to-end delivery of analytics programs across multiple client accounts; scoping to business impact.
• Translate objectives and roadmaps into scalable analytical solutions and insights.
• Lead cross-functional initiatives across analytics, data engineering, product, technology and client teams.
• Provide oversight for statistical analyses, ML models, experimental designs and QA/QC.
• Translate complex analyses into executive-level narratives and client recommendations.

Skills

Python

SQL

Databricks

Adobe Analytics

Google Analytics

Power BI

Tableau

Education

Bachelor’s degree in quantitative field

Master’s degree preferred

Tools

N/A

Job description

Epsilon’s Data Science & AI practice within Analytics Services seeks a Senior Staff Data Scientist to lead delivery of advanced analytics and AI solutions for clients. You will own end-to-end engagements, guiding teams across analytics, data engineering, and technology to deliver measurable business impact.

The role demands client-facing executive presence, strong technical depth, and the ability to translate complex data into actionable insights and strategic recommendations.