Data Scientist

Capgemini • New York, NY

1d • $70,000 - $140,000 • Onsite

About The Position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of software engineering experience with strong expertise in Python.
• Hands-on experience implementing Google Contact Center AI (CCAI), Dialogflow CX, Customer Engagement Suite (CES), and Vertex AI.
• Experience designing and delivering enterprise Conversational AI and Generative AI solutions.
• Strong experience with REST APIs, microservices, cloud-native architecture, and system integrations.
• Experience working directly with enterprise customers and leading technical engagements.

Nice To Haves

• Experience with Gemini, Vertex AI Agent Builder, RAG architectures, Vector Databases, and Multi-Agent Systems.
• Experience modernizing enterprise contact centers and customer service operations.
• Google Cloud Professional Certifications preferred.

Responsibilities

• Design, develop, and deploy conversational AI solutions using Dialogflow CX, Gemini-powered Conversational Agents, CCAI, and Customer Engagement Suite (CES).
• Architect and build AI-powered virtual agents, voice bots, digital assistants, agent assist, and self-service customer experience solutions.
• Develop scalable backend services and integrations using Python and Google Cloud services.
• Implement and optimize Generative AI, Retrieval Augmented Generation (RAG), Vector Search, Agentic AI, and Knowledge Grounding capabilities.
• Integrate AI solutions with enterprise platforms including CRM, Contact Center, ERP, Knowledge Management, and custom APIs.
• Build and deploy cloud-native applications using Vertex AI, Cloud Run, Cloud Functions, Pub/Sub, BigQuery, GKE, and API Gateway.
• Lead customer workshops, technical discovery sessions, architecture reviews, and implementation planning.
• Troubleshoot and optimize conversational design, NLU performance, prompt engineering, conversation flows, and production deployments.
• Collaborate closely with customer engineering teams to establish best practices, accelerate adoption, and deliver measurable business outcomes.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior