Hybrid Data Scientist II: Client Analytics & ML

Publicis Groupe; Atlanta, Northern (GA, KY); Hybrid; USD 73,000 - 96,000; Full time

Benefits offered by this job

Adoption assistance

Pet adoption support

Wellness reimbursements

Tuition assistance

Paid time off

Matching gifts

Flexible working arrangements

Work Your World program

Job summary

Publicis Digital Experience in Atlanta, GA is seeking a Data Scientist II to support the Automotive Data Science team within Epsilon. You will deploy projects from inception to insights, enabling strategy with ML/DL, AI, and data platforms.

You’ll collaborate across stakeholders to produce scalable analytics, improve automation, and deliver actionable business recommendations for OEMs and dealers in the US and Canada.

Qualifications

• Master’s or bachelor’s degree in statistics, economics, mathematics, data science or related field.
• 2–4 years of experience deploying data science projects.
• 2+ years coding in Python, PySpark and SQL; strong ML/DL knowledge.

Responsibilities

• Deliver end-to-end data science projects from requirements to insights.
• Apply regression, classification, clustering, and neural networks to business problems.
• Develop new data sources, test model enhancements, and tune parameters.
• Define requirements for analytics platforms, pipelines, and tooling.
• Present insights to audiences with varied technical backgrounds.
• Automate processes to scale analytical solutions across teams.
• Collaborate across the operations to standardize core value-add functionality.

Skills

Python

PySpark

SQL

ML & DL algorithms

LLM & Gen AI

Cloud platforms (AWS/Azure)

Large datasets

Analytical thinking

Communication & presentation

Education

Master's or Bachelor's in quantitative discipline

Tools

Databricks

AWS

Azure

Job description

Publicis Digital Experience in Atlanta, GA is seeking a Data Scientist II to support the Automotive Data Science team within Epsilon. You will deploy projects from inception to insights, enabling strategy with ML/DL, AI, and data platforms.

You’ll collaborate across stakeholders to produce scalable analytics, improve automation, and deliver actionable business recommendations for OEMs and dealers in the US and Canada.