Senior Data Scientist

Senior Data Scientist

Publicis Re:Sources is the backbone of Publicis Groupe, the world's most valuable agency group. We are the only full-service, end-to-end shared service organization in the industry, enabling Groupe agencies to do what they do best: innovate and transform for their clients. Formed in 1998 as a small team to service a few Publicis Groupe firms, Publicis Re:Sources has grown to 6,200+ employees globally. We provide technology solutions and business services including finance, accounting, legal, benefits, procurement, tax, real estate, treasury and risk management. We continually transform to keep pace with our ever-changing communications industry and thrive on a spirit of innovation felt around the globe. Learn more about Publicis Re:Sources and the Publicis Groupe agencies we support.

We are looking for a Senior Data Scientist with deep expertise in Generative AI and advanced machine learning techniques to join our AI innovation team. This role will focus on designing, developing, and deploying generative models that power next-generation AI solutions for our organization.

Responsibilities

• Lead the development and optimization of Generative AI models (LLMs, diffusion models, transformers) for text, image, and multimodal applications.
• Design and implement end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment.
• Collaborate with product and engineering teams to integrate generative models into scalable applications.
• Conduct research on emerging Gen AI techniques and apply them to business use cases.
• Fine-tune pre-trained models and develop custom architectures for domain-specific tasks.
• Ensure compliance with AI ethics, bias mitigation, and data privacy standards.
• Mentor junior data scientists and contribute to best practices in model development and MLOps.

Qualifications

• Bachelor's in Computer Science, Data Science, AI/ML, or related field.
• 7+ years of experience in Data Science, with at least 2+ years in Generative AI.
• Strong proficiency in Python, TensorFlow, PyTorch, and ML frameworks.
• Hands-on experience with LLMs (GPT, BERT, etc.), diffusion models, and transformer architectures.
• Expertise in NLP, computer vision, and multimodal AI.
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Strong understanding of data ethics, bias detection, and responsible AI principles.

Preferred

• Experience with prompt engineering, fine-tuning large models, and vector databases.
• Knowledge of retrieval-augmented generation (RAG) and agentic AI frameworks such as Langchain, Langgraph, Langfuse.
• Publications or contributions in AI research communities.

All your information will be kept confidential according to EEO guidelines. This job description in no way states or implies that these are the only duties to be performed by the employee(s) currently in this position. Employee(s) will be required to follow any other job related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. A review of this position has excluded the marginal functions of the position that are incidental to the performance of fundamental job duties. All duties and responsibilities are essential job functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbent(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an "at-will" relations.