Senior Manager, Data Science - Generative AI

Job Description

Job Description

Company Description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers.

We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity.

United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

Job Description

You're passionate about solving real world problems through the application of machine learning and AI - specifically GenAI.

GenAI Skills :

• Experience in developing and implementing generative AI models and algorithms, Retrieval Augment generation and prompt engineering.
• Ability to work with large datasets and understand preprocessing techniques.
• Experience in building and deploying multi-modal generative AI systems in real-world applications.
• Experience with GCP ecosystem with ImageGen, Vector Search, Vertex AI is must

Machine Learning / Deep Learning Skills :

• Lead the development and implementation of advanced machine learning models, ensuring a high standard of technical excellence
• Design, implement and provide guidance on ML engineering workflows, streamlining the deployment of models and systems to production for optimal efficiency
• Exceptional ML engineering knowledge, showcasing the ability to streamline model deployment and manage complex ML workflows
• Strong understanding of machine learning and deep learning principles

Data Science Skills :

• Extensive full-time experience in Data Science roles, with a proven background in leading and mentoring small data science project teams
• Track record of successfully taking multiple data science models / systems into production with GCP ecosystem
• Strong background and experience with 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)

Consulting Skills :

• Collaborate closely with clients, understanding their unique needs and challenges
• Ability to be hands-on independently, as part of senior teams, as well as leading small teams

Bonus points if you have a background in consumer goods or the MarTech space.

Qualifications

At least ten (10) years of industry experience, preferably with a focus in marketing, consumer goods, and / or consulting.

Educational Background :

Quantitative educational background, preferably in a field related to data science, e.g. Computer Science, Statistics, Mathematics, Engineering, or similar fields

Additional Information

Benefits of Working Here

• 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

Pay Range : $140,000 - $200,000

The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work itself.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion.

We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

If you need assistance or an accommodation due to a disability, you may contact us at [email protected] or you may call us at +1-617-621-0200.

Your information will be kept confidential according to EEO guidelines.