Data Science Manager
Publicis Sapient · Posted Sep 21
Enterprise AI platforms, digital business transformation, software engineering, and strategy consulting services
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About the role
The Data and AI Team at Publicis Sapient is at the forefront of AI innovation, crafting scalable solutions for enterprises across industries such as Healthcare, Retail, and Automotive. The team blends expertise in data science, AI/ML, and software engineering to solve complex business challenges, building applications like intelligent content moderation engines, AI-driven recommendation systems, and LLM-based enterprise solutions. As a Manager Data Science specialising in Generative AI, you will lead AI-driven innovations, mentor a team of data scientists, and direct the customization and deployment of large language models and generative AI applications.
What you will do
- Lead AI-Driven Innovations : Drive the development of state-of-the-art AI and machine learning solutions that transform business strategies and deliver exceptional customer experiences.
- Strategic Collaboration: Work closely with cross-functional teams, including product managers, data engineers, and business stakeholders, to define and execute data- driven solutions aligned with organizational goals.
- Foster a High-Performance Team : Build, mentor, and lead a team of talented data scientists, cultivating a culture of innovation, collaboration, and continuous learning.
- Deliver Business Impact : Translate complex business problems into AI/ML solutions by leveraging advanced techniques such as generative AI, deep learning, and NLP, ensuring measurable outcomes.
- Optimize AI Pipelines : Oversee the development and deployment of scalable, efficient, and robust machine learning pipelines that address latency, responsiveness, and real- time data processing challenges.
- Customize AI Models : Direct the customization and fine-tuning of AI models, including large language models (LLMs) and other generative AI technologies, to meet domain- specific requirements.
- Promote Data-Driven Decision-Making : Advocate for data-centric approaches across teams, ensuring data quality, integrity, and readiness to maximize model performance and business impact.
- Develop Intelligent AI Agents : Architect and refine AI agents that solve complex business challenges, leveraging LLMs to deliver personalized, user-centric solutions.
- Advance Generative AI Applications : Innovate with cutting-edge generative AI models such as LLM, VLM, GANs, and VAEs to create tailored applications for dynamic content creation, predictive analytics, and enhanced automation.
- Scale AI with Cloud Technology : Deploy and scale LLM-based solutions on platforms like GCP, AWS and Azure to address real-world business problems with precision and efficiency.
- Stay at the Cutting Edge : Keep up-to-date with emerging trends and innovations in AI and data science, identifying opportunities to incorporate the latest advancements into projects.
- Design AI Systems : Build AI agents for tasks such as content compliance, asset decomposition, and contextual personalization.
- Develop NLP Pipelines : Implement advanced NLP solutions for search relevance, intent detection, and dynamic content generation.
- Integrate Multi-Modal Systems : Combine data modalities such as text, images, and metadata for enriched user interactions and insights.
- Optimize AI Pipelines : Innovate in latency reduction, scalability, and real-time responsiveness for AI systems in production.
- Collaborate on AI Innovation : Work with business stakeholders to identify opportunities and deliver impactful AI-driven solutions.
Skills used in this role
What the employer is looking for
- BS/MS in Computer Science, Math, Physics, Engineering, Statistics, or another quantitative or computational field.
- Fine tuning experience of Large Language models (LLMs, VLLMs, or Vision model)
- Distributed training or inference experience with frameworks like Ray, vllm, openllm, bentoML etc.
- Experience with frameworks like like LangChain, Llamaindex for building maintainable, scalable Generative AI applications.
- Deployment experience or optimized hosting experience of Large Language models (LLMs, VLLMs, or Vision model)
- Experience working with any Vector database like Milvus, FAISS, ChromaDB etc
- Experience developing agents with frameworks like LangGraph, CrewAI, Autogen etc
- Experience with prompt engineering
- Keeping up with latest market trends
- Experience working with open source large language models from HuggingFace
- Experience working with atleast one public cloud provider such as Azure, AWS or GCP
- Experience working with container technology like Docker, ECS etc
- Experience with DevOps practices and CI/CD pipelines for data solutions
- Experience in deploying solutions to production with Kubernetes or OpenShift
- Experience with managing ML workflows with MLFlow or KubeFlow
- Strong written and verbal communication skills
- Ability to effectively communicate technical concepts to technical and non-technical stakeholders.
- Proactive mindset for collaboration across teams to achieve shared goals.
- Strong ability to solve complex problems with a focus on scalability, efficiency, and domain relevance.
- Articulation skills
- Self-starter who requires minimal oversight
- Ability to prioritize and manage multiple tasks
- Process orientation and the ability to define and set up processes
Preferred qualifications
- Advanced degrees preferred.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Publicis Sapient
Publicis Sapient is a digital business transformation company that helps organizations create and sustain competitive advantage through a blend of strategy, consulting, experience design, and engineering. Operating as a subsidiary of Publicis Groupe, the firm leverages proprietary enterprise AI platforms like Sapient Bodhi, Slingshot, and Sustain to modernize legacy systems and accelerate digital capabilities. With over 30 years of history, it partners with global enterprises across diverse industries to reinvent how they operate and serve their customers.
- Industry
- Digital Transformation
- Company size
- 20000+ employees
- Founded
- 1990
- Location
- Boston, Massachusetts, USA
- Funding stage
- Public Company
Funding
Public Company · $3.7B raised
- 2015-02-01Acquisition$3.7B
Leadership
Chief Executive Officer
Nathalie Le Bos
Chief Financial Officer
Chief Marketing Officer
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