Data Analyst II: AI/ML Analytics for Automotive

Publicis Groupe ANZ

Atlanta, Northern (GA, KY)

Hybrid

USD 56,000 - 73,000

Full time

7 days ago
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Benefits offered by this job

Medical and voluntary benefits
Paid time off (vacation, sick days,vol
Tuition assistance
Flexible working arrangements
Work Your World program

Job summary

Publicis Digital Experience in the Automotive Data Science team seeks a Data Scientist II to deploy predictive models and drive insights across OEMs and dealers in the US/Canada. You will lead end-to-end analytics, build scalable data solutions, and articulate actionable results to stakeholders.

The role emphasizes collaboration, innovative data sourcing, and applying ML/DL techniques to improve marketing and customer journeys within a leading digital marketing group.

Qualifications

  • Master’s or bachelor’s Degree in quantitative rigor (Statistics, Economics, Mathematics, Data Science, Business Analytics).
  • 2-4 years of experience as a Data Scientist deploying Data Science projects.
  • 2+ years of coding in Python, PySpark, and SQL
  • Deep understanding and hands-on experience with ML and DL Algorithms.
  • Knowledge of Automotive Business and Digital Marketing Campaigns 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 standout colleague 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 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
Databricks
Cloud (AWS or Azure)
Large datasets
Analytical thinking
Communication skills
Presentation skills

Education

Master’s or Bachelor’s Degree in quantitative rigor

Tools

Databricks

Job description

Publicis Digital Experience in the Automotive Data Science team seeks a Data Scientist II to deploy predictive models and drive insights across OEMs and dealers in the US/Canada. You will lead end-to-end analytics, build scalable data solutions, and articulate actionable results to stakeholders.

The role emphasizes collaboration, innovative data sourcing, and applying ML/DL techniques to improve marketing and customer journeys within a leading digital marketing group.

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