Lead Data Scientist - Marketing Analytics & AI

Digitas North America; Boston (MA); On-site; USD 112,000 - 172,000; Full time

Job summary

Digitas North America is seeking a Lead Data Scientist to develop and implement multi-faceted analytical solutions for marketing and business challenges. You will own cross-team projects from data engineering to modeling and strategy, translating complex results into actionable insights for clients.

The role requires 7+ years in data science or analytics, strong Python or R, SQL, and distributed computing skills, plus a passion for marketing analytics and clear communication with non-technical

Qualifications

• 7+ years in data science or analytics roles.
• Proficiency in Python or R, SQL, and distributed computing systems such as Hadoop or AWS.
• Strong ability to communicate complex technical concepts to non-technical audiences.
• Familiarity with marketing analytics applications and AI tools.

Responsibilities

• Owning end-to-end analytical projects involving data engineering, data mining, data modeling, and business strategy.
• Providing internal expertise in statistical methods, machine learning, AI, distributed computing, and open-source programming.
• Providing thought leadership and innovation in analytics processes and implementation.
• Collaborating with internal and external stakeholders to set analytical objectives, approaches and timelines.
• Summarizing, visualizing, and communicating analytic concepts and results for diverse audiences.
• Sharing knowledge to advance the Data Science practice.

Skills

Statistical methods

Machine learning

AI

Distributed computing

Open-source programming

Python

SQL

Communication

Marketing analytics

Self-starter

Tools

Python

R

SQL

Hadoop

AWS

Linux

Spark

Job description

Digitas North America is seeking a Lead Data Scientist to develop and implement multi-faceted analytical solutions for marketing and business challenges. You will own cross-team projects from data engineering to modeling and strategy, translating complex results into actionable insights for clients.

The role requires 7+ years in data science or analytics, strong Python or R, SQL, and distributed computing skills, plus a passion for marketing analytics and clear communication with non-technical