Senior Data Scientist: Marketing Analytics & AI Modeling

Digitas North America; New York (NY); On-site; USD 89,000 - 142,000; Full time

Job summary

Digitas North America is seeking a Senior Data Scientist to solve complex marketing and business challenges by accessing, integrating, and modeling diverse data sources. You will work across cross-channel media and customer experiences to optimize segmentation, targeting, and strategy.

The role requires rigorous analytic training and 3+ years in data science or analytics, with hands-on Python or R, SQL, and distributed computing (Hadoop/AWS). Collaboration with stakeholders is essential.

Qualifications

• Hands-on experience with Python or R, SQL, and distributed computing such as Hadoop or AWS.
• Familiarity with Linux and Spark is a plus.
• Interest in applying data science to marketing analytics.

Responsibilities

• Translating marketing and business questions into analytical plans.
• Ingesting and integrating disparate big data sources with distributed systems.
• Conducting exploratory analysis to identify insights and transformations.
• Applying quantitative techniques and machine learning to uncover patterns.
• Building and testing scalable data pipelines or models for real-time use.
• Communicating results to technical and non-technical audiences.
• Collaborating with stakeholders to define objectives and timelines.

Skills

Python

R

SQL

Hadoop

AWS

Linux

Spark

Generative AI tools

Education

Bachelor’s or Master’s degree in a quantitative field

Job description

Digitas North America is seeking a Senior Data Scientist to solve complex marketing and business challenges by accessing, integrating, and modeling diverse data sources. You will work across cross-channel media and customer experiences to optimize segmentation, targeting, and strategy.

The role requires rigorous analytic training and 3+ years in data science or analytics, with hands-on Python or R, SQL, and distributed computing (Hadoop/AWS). Collaboration with stakeholders is essential.