Lead Data Scientist: Marketing Analytics & AI

Publicis Group; Boston, Northern (MA, KY); Hybrid; USD 112,000 - 172,000; Full time

Job summary

Digitas in Boston is seeking a Lead Data Scientist to drive end-to-end analytics for multi-channel marketing challenges. You will build inferential and predictive models, process big data, and translate results into compelling client stories.

The role requires 7+ years in data science or analytics, strong Python or R, SQL, and experience with distributed systems like Hadoop or AWS. You will collaborate with stakeholders and mentor teams in a fast-paced, collaborative environment.

Qualifications

• 7+ years of experience in data science or analytics roles.
• Strong Python or R, SQL, and big data tools.
• Ability to communicate complex concepts to non-technical audiences.
• Passion for marketing analytics applications.
• Self-starter in fast-paced, flat-structure environment.

Responsibilities

• Own end-to-end analytical projects involving data engineering, data mining, data modeling, and business strategy.
• Provide Internal expertise in statistical methods, machine learning, AI, distributed computing, and open-source programming.
• Provide thought leadership and innovation in process, technique, and implementation.
• Collaborate with internal and external stakeholders to establish clear analytical objectives, approaches and timelines.
• Summarize, visualise, communicating and documenting analytic concepts, processes and results for technical and non-technical audiences.
• Sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of our Data Science practice.

Skills

Statistical methods

Machine learning

AI

Distributed computing

Open-source programming

Tools

Python

R

SQL

Hadoop

AWS

Linux

Spark

Job description

Digitas in Boston is seeking a Lead Data Scientist to drive end-to-end analytics for multi-channel marketing challenges. You will build inferential and predictive models, process big data, and translate results into compelling client stories.

The role requires 7+ years in data science or analytics, strong Python or R, SQL, and experience with distributed systems like Hadoop or AWS. You will collaborate with stakeholders and mentor teams in a fast-paced, collaborative environment.