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# Lead Data Scientist

- **Company:** Publicis Groupe
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Salary:** $152,208.0 - $172,032.0
- **Contract:** Permanent contract
- **Skills:** Midjourney, Artificial Intelligence, Amazon Web Services, Information Engineering, Data Mining, Linux, Distributed Systems, R (Programming Language), Apache Hadoop, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Open Source Technology, SQL Databases, Systems Integration, Apache Spark, Generative AI, GPT, Unsupervised Learning, Programming Languages
- **Published:** July 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4625d45a0ea75cba

## About the Role

We're looking for rigorous analytic training and 7+ years professional experience in a data science or analytics role, which typically includes:

 * Robust domain expertise in areas of statistical methods, machine learning, AI, distributed computing, and/or open-source programming languages
 * Experience integrating a variety of data sources, methods, and applications to achieve specific objectives
 * Experience implementing a range of statistical or machine learning methods, from basic descriptive statistics, hypothesis testing and feature transformation to complex dimension reduction, supervised or unsupervised learning, and model tuning and validation.
 * Proficiency in Python or R, SQL, and distributed computing systems such as Hadoop or AWS. Familiarity with Linux and/or Spark preferred.
 * Demonstrated ability to communicate complex technical concepts to non-technical audiences
 * Demonstrated passion for marketing analytical applications
 * Demonstrated self-starter who thrives in a fast-paced environment with flat structure.
 * Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALL·E, Midjourney) is a plus, especially for tasks like ideation, research, or content generation.

## Description

As a Lead Data Scientist, you are our internal expert. You'll develop and implement multi-faceted solutions for complex marketing and business challenges-from cross-channel media and customer experience optimization to segmentation, targeting and business strategy-synthesizing just the right elements of our technical and analytical offerings.

 * Owning end-to-end analytical projects involving data engineering, data mining, data modeling, and business strategy.
 * Providing Internal expertise in fundamental skill areas such as statistical methods, machine learning, AI, distributed computing, and open-source programming.
 * Providing thought leadership and innovation in process, technique, and implementation.
 * Collaborating with internal and external stakeholders to establish clear analytical objectives, approaches and timelines.
 * Summarizing, visualizing, 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.


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