Data Scientist II, Client Analytics - Automotive

Publicis Groupe Holdings B.V; Atlanta (GA); Hybrid; USD 73,000 - 96,000; Full time

Benefits offered by this job

Adoption assistance

Pet adoption assistance

Tuition Assistance

Flexible paid time off

Flexible working arrangements

Work Your World program

Matching Gifts

Employee Resource Groups

Job summary

Publicis Digital Experience in the United States is seeking a Data Scientist II to deploy end-to-end analytics projects for automotive clients. You will leverage ML/DL, AI, and data platforms to drive insights across the customer journey, partnering with cross-functional teams to accelerate decision making and value for clients.

The role emphasizes collaboration, innovation, and scalable data solutions, with a hybrid work arrangement requiring 3–4 days in the office.

Qualifications

• Master’s or bachelor’s Degree in quantitative discipline (Statistics, Economics, Mathematics, Data Science, Business Analytics).
• 2-4 years of experience as a Data Scientist deploying Data Science projects.
• 2+ years of coding skills in Python, PySpark, and SQL.
• Deep understanding and hands-on experience with ML and DL Algorithms.
• Good understanding of LLM, Gen AI, Databricks and Cloud Systems (AWS or Azure).
• Experience of working with large data sets and developing scalable solutions.
• Knowledge of Automotive Business and Digital Marketing Campaigns are preferred.
• Ability to work independently and deal with ambiguity.
• Strong analytical and problem-solving skills.
• Excellent presentation and communication skills.
• Strong written and verbal communication skills.
• Highly motivated and collaborative team player with strong interpersonal skills.

Responsibilities

• Deliver end to end Data Science projects including understanding of business requirements, exploratory data analysis, data processing, aggregating data, feature engineering, building, and validating predictive models, explaining model results and insights.
• Use AI, ML, DL techniques such as regression, classification, clustering, tree-based algorithms, support vector machine, and neural networks, recommender system, and attribution modeling to address business problems.
• Improve upon existing methodologies by developing new data sources/features, testing model enhancements, and fine-tuning model parameters.
• Provide requirements to develop analytical capabilities, platforms, and pipelines.
• Present insights and recommendations to audiences of varying levels of technical sophistication
• Automate processes to ensure scalability of solutions by collaborating with cross-functional teams.
• Perform the extraction, transformations, and loading from the source systems and the data lake to the analytics products using independently developed logic.
• Enhance data maturity and integration for Epsilon projects by interacting with operations to standardize the core value-add functionality, enabling a multiplier effect experience working within a collaborative team.
• Challenge the status quo with entrepreneurial innovation in curating new data sources, elevating analytics beyond data reporting and dashboarding to deliver actionable insights.

Skills

Python

PySpark

SQL

ML algorithms

DL algorithms

LLM / Gen AI

Data analysis

Communication skills

Presentation skills

Independent worker

Problem solving

Team player

Education

Master’s or bachelor’s degree in quantitative discipline

Tools

Databricks

AWS

Azure

Job description

Publicis Digital Experience in the United States is seeking a Data Scientist II to deploy end-to-end analytics projects for automotive clients. You will leverage ML/DL, AI, and data platforms to drive insights across the customer journey, partnering with cross-functional teams to accelerate decision making and value for clients.

The role emphasizes collaboration, innovation, and scalable data solutions, with a hybrid work arrangement requiring 3–4 days in the office.