Senior Data Science Engineer

$134,000 - $161,000/Yr

Publicis Groupe - Chicago, IL

Full-time - Mid Level

Chicago, IL

10,001+ employees

Professional, Scientific, and Technical Services

About the position

The Senior Associate, Data Science at Publicis Sapient plays a pivotal role in driving data-driven transformations (DDT) for clients globally. This position is designed for individuals who are passionate about leveraging machine learning and artificial intelligence, particularly generative AI, to solve real-world problems. The Senior Associate will collaborate closely with digital directors, client teams, and practice capabilities to accelerate and implement DDT strategies. This role is crucial in ensuring that Publicis Sapient remains an industry leader in digital innovation, execution, and value realization through data-driven solutions. In this role, you will be responsible for developing and implementing generative AI models and algorithms, including Retrieval Augment generation and prompt engineering. You will work with large datasets, applying preprocessing techniques to prepare data for analysis. Your experience with the GCP ecosystem, particularly with tools like ImageGen, Vector Search, and Vertex AI, will be essential as you build and deploy multi-modal generative AI systems in real-world applications. Additionally, you will lead the development and implementation of advanced machine learning models, ensuring technical excellence throughout the process. This includes designing and implementing ML engineering workflows that streamline the deployment of models and systems to production, enhancing efficiency. Your strong understanding of machine learning and deep learning principles will be critical as you manage complex ML workflows and mentor small data science project teams. Your extensive experience in Data Science roles will be complemented by a proven track record of successfully deploying multiple data science models and systems within the GCP ecosystem. You will also bring expertise in Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps), along with a solid foundation in collaborative development tools and practices, such as peer code reviews and version control using Git.

Responsibilities

• Work with clients to drive data-driven transformation strategies globally.
• Develop and implement generative AI models and algorithms.
• Utilize large datasets and apply preprocessing techniques for data analysis.
• Build and deploy multi-modal generative AI systems in real-world applications.
• Lead the development and implementation of advanced machine learning models.
• Design and implement ML engineering workflows for optimal model deployment efficiency.
• Mentor and lead small data science project teams.
• Manage complex ML workflows and ensure technical excellence in model development.

Requirements

• Extensive full-time experience in Data Science roles.
• Proven background in leading and mentoring small data science project teams.
• Experience in developing and implementing generative AI models and algorithms.
• Strong understanding of machine learning and deep learning principles.
• Exceptional ML engineering knowledge and experience with model deployment.
• Track record of successfully taking multiple data science models/systems into production with GCP ecosystem.
• Strong background in Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps).
• Expertise in collaborative development tools and practices, including peer code reviews and version control (Git).

Benefits

• Flexible vacation policy; time is not limited, allocated, or accrued.
• 16 paid holidays throughout the year.
• Generous parental leave and new parent transition program.
• Tuition reimbursement.
• Corporate gift matching program.