Senior Data Scientist

Company Description

OVERVIEWPublicis Groupe is one of the world’s largest communications holding companies, present in over 110 countries and employing about 100,000 professionals.. The Groupe is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation.HELPING OUR CLIENTS UNLOCK GROWTH IN THE PLATFORM WORLDOur clients compete in the platform world, a horizontal marketplace between creators and consumers, between speakers and listeners, between buyers and sellers. To thrive in the platform world, companies must continue to innovate their products and business models. Four imperatives (1. Real Identity, 2. Dynamic, Diverse and Disruptive Creativity 3., Smart Media and 4. Direct Relationships) via our suite of world-class agencies, are necessary for modern brands to win in the platform world. At Publicis Groupe, we’ve invested in capabilities across these four imperatives our clients need to unlock growth. As the only one who can architect, build and orchestrate end to end solutions, not only do we have a proven record of building bespoke models for clients and leading expertise across all major industry categories, we are able to offer our talents more opportunities to grow and benefit from a richer learning experience. We call this Power of One. Powered by a 100,000-strong network via Marcel, our AI-based platform, we are also able to provide our clients and talents instant access to resource, knowledge for any need, any time, in any market.THE SPIRIT OF VIVA LA DIFFERENCEViva La Difference is deeply rooted in everything we do. It has always been in our DNA. From the birth of Publicis, 94 years ago, when Marcel Bleustein-Blanchet, our founder, invented French advertising. Viva La Difference expresses how we value and respect each individual and recognize what makes us distinctive. This is the charge that inspires our teams to celebrate the differences in identity, background, culture, and experience of all of us. It is how we behave with each other and our clients, and it is deeply rooted throughout our work, to elevate and bring to life our differences throughout the platform world..

Job Description

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 the associated technical and non technical teams —helping to shape data-driven solutions and strategies that power our data products and production operations.

The main objective of this role will be to develop the data strategies across multiple platforms and sources, build and implement the required data solutions in order to feed production platform’s forecasting and visibility functionality.

As a senior member of the team, you’ll be self motivated and be able to take ownership of projects, collaborate closely 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 recommendation and insight to production use cases
• Apply statistical techniques to extract insights and support data-driven decision-making
• Work alongside data engineering in requirements for data pipelines and feature engineering
• Promote best practices in data science, model validation, documentation, and reproducibility

Qualifications

Experience

• 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 make sure you check out the Publicis Career Pagewhich showcases our Inclusive Benefits and our EAG’s (Employee Action Groups).

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