Senior Data Scientist
Listed on 2026-02-28
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IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer, Data Science Manager
Company description
Present in over 100 countries and employing nearly 80,000 professionals, Publicis Groupe is the third largest communications group in the world. Publicis Groupe is listed on the Euronext Paris [FR] and is part of the CAC 40 index. Active across the entire value chain, Publicis Groupe offers its major clients a transversal, unified and fluid model allowing them access to all the Groupe’s tools and expertise around the world through the mantra "The Power of One."
OverviewOur Data Scientists deliver analytic solutions across a wide variety of client applications. We build inferential and predictive models, including machine learning algorithms and AI; we process, integrate and manipulate big data with distributed systems and customer data pipelines; we synthesize results and translate findings into compelling stories that resonate with clients.
As a Senior Data Scientist, you’ll solve complex marketing and business challenges—from cross-channel media and customer experience optimization to segmentation, targeting and business strategy—by accessing, integrating, manipulating, mining and modeling a wide array of data sources.
Job Responsibilities- Translating and reframing marketing and business questions into analytical plans.
- Using distributed computing systems to ingest, access and integrate disparate big data sources.
- Conducting extensive exploratory analysis to identify relevant insights, useful transformations and analytical applications.
- Applying quantitative techniques, including statistical and machine learning, to uncover latent patterns in the data.
- Building and testing scalable data pipelines or models for real-time applications.
- Summarizing, visualizing, communicating and documenting analytic concepts, processes and results for technical and non-technical audiences.
- Collaborating with internal and external stakeholders to establish clear analytical objectives, approaches and timelines.
- Sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of our Data Science practice.
- A Bachelor’s or Master’s degree in a quantitative field such as statistics, mathematics, econometrics, operations research, data science, computer science, engineering, marketing or social science methods.
- Hands-on experience mining data for decision-focused insights.
- Hands-on experience running common statistical or machine learning procedures, such as descriptive statistics, hypothesis testing, dimension reduction, feature transformation, supervised or unsupervised learning.
- Hands-on experience using Python or R, SQL, and distributed computing systems such as Hadoop or AWS. Familiarity with Linux and/or Spark preferred.
- Demonstrated interest in 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.
Apply if you believe your unique skills are a fit.
Additional InformationPublicis an equal opportunity employer.
Additional InformationOur Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
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