Lead Data Scientist — Marketing Analytics & AI

Publicis Groupe Holdings B.V; Boston (MA); On-site; USD 112,000 - 172,000; Full time

Benefits offered by this job

Medical coverage

Dental and vision

401(k)

Paid time off

Parental and family care leave

Job summary

Digitas, part of Publicis Groupe, in Boston seeks a Lead Data Scientist to develop and implement multi-faceted data science solutions for marketing and business challenges. You will synthesize technical offerings with client needs, spanning cross-channel initiatives.

The role emphasizes rigorous analytic training, 7+ years of experience, and effective communication with both technical and non-technical stakeholders. Strong Python/R, SQL, and distributed computing skills are required.

Qualifications

• 7+ years of experience in data science or analytics.
• Strong expertise in statistical methods, ML/AI, distributed computing, or open-source programming.
• Ability to communicate complex technical concepts to non-technical audiences.

Responsibilities

• Own end-to-end analytical projects covering data engineering, data mining, modeling, and business strategy.
• Provide internal expertise in statistical methods, ML/AI, distributed computing, and open-source tools.
• Lead thought leadership and drive process innovation within the data science practice.
• Collaborate with internal and external stakeholders to define objectives, approaches, and timelines.
• Summarize and communicate analytic concepts and results to technical and non-technical audiences.
• Share knowledge and advance the skills of the data science team.

Skills

Python

R

SQL

Distribution systems

Machine Learning

Tools

Hadoop

AWS

Linux

Spark

Job description

Digitas, part of Publicis Groupe, in Boston seeks a Lead Data Scientist to develop and implement multi-faceted data science solutions for marketing and business challenges. You will synthesize technical offerings with client needs, spanning cross-channel initiatives.

The role emphasizes rigorous analytic training, 7+ years of experience, and effective communication with both technical and non-technical stakeholders. Strong Python/R, SQL, and distributed computing skills are required.