Overview

We are looking for a Senior Data Scientist to join our data team and help transform complex data into actionable insights that enable strategic decision-making. You’ll work at the intersection of machine learning, analytics, and business strategy and collaborate with technical and non-technical teams to shape data-driven solutions and strategies that power our data products and production operations.

The main objective of this role is to develop data strategies across multiple platforms and sources, and to build and implement the required data solutions to feed production platform forecasting and visibility functionality. As a senior member of the team, you’ll be self-motivated and able to take ownership of projects, collaborating with stakeholders across product, engineering, and business to deliver data science solutions.

Responsibilities

• Work across and support a range of data use cases including analytics and data provisioning
• Lead the design, development, and deployment of data strategies, machine learning models, and advanced analytics solutions to support recommendations and insights for production use cases
• Apply statistical techniques to extract insights and support data-driven decision-making
• Collaborate with data engineering on data pipelines and feature engineering
• Promote best practices in data science, model validation, documentation, and reproducibility

Qualifications

• Strong coding skills in Python, including libraries such as pandas, scikit-learn, TensorFlow, or PyTorch
• Expert in Python and ML frameworks (PyTorch, TensorFlow, Sklearn) with experience across NLP, computer vision, and LLMs
• Strong statistical and experimental design background, including A/B testing and causal inference
• Experience working with SQL and large-scale datasets
• Excellent communication skills and ability to present complex ideas to non-technical stakeholders
• Experience with cloud platforms (AWS, GCP, Azure) and tools like Databricks, Snowflake, or BigQuery

Desirable Skills

• Familiarity with MLOps, model monitoring, and production deployment
• Experience in a specific domain (e.g., marketing, operations, fraud, personalization, NLP) is a plus
• Hands-on experience with LLM stacks (e.g., Mistral, LangChain, Chroma, Hugging Face Transformers)
• Interest in staying current with AI trends and contributing to internal R&D or innovation initiatives

Additional Information

Publicis Groupe operates a hybrid working pattern with full-time employees being office-based three days during the working week.

We are supportive of all candidates and are committed to providing a fair assessment process. If you have any circumstances (such as neurodiversity, physical or mental impairments or a medical condition) that may affect your assessment, please inform your Talent Acquisition Partner. We will discuss possible adjustments to ensure fairness. Rest assured, disclosing this information will not impact your treatment in our process.

Please check the Publicis Career Page which showcases our Inclusive Benefits and our Employee Action Groups (EAGs).