Data Scientist leveraging advanced analytics and machine learning for Gartner's Client Experience Digital Platform. Collaborating with cross - functional teams on data science projects while developing AI - powered tools.
About the role
- Data Scientist leveraging advanced analytics and machine learning for Gartner’s Client Experience Digital Platform. Leading AI-powered chatbot systems development and collaborative data science projects.
Responsibilities
- Lead data science projects in close collaboration with Data Engineering, Application development, Product owners and business leaders
- Architect and build sophisticated AI-powered chatbot systems that provide intelligent, personalized client experiences at scale
- Design and implement advanced tools that power conversational AI capabilities
- Build user profiling and personalization models to deliver tailored chatbot experiences
- Collaborate with senior leadership on long-term vision, strategy, and solution roadmaps
- Leverage internal and external data to understand client's company-level priorities
- Mentor junior data scientists on chatbot development, LLM applications, and best practices
Requirements
- 6-8 years hands-on experience building conversational AI systems, chatbots, LLM applications, or other advanced machine learning/artificial intelligence solutions
- Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required
- Strong communication skills in technical and business domains
- Working experience in Large Language Models (LLMs) and Generative AI
- Conversational AI, chatbot development, and dialogue systems
- Natural Language Processing and text mining
- Search and Recommendation systems
- AI agent architectures and orchestration
- Strong familiarity with Model Context Protocol (MCP)
- Experience and proficiency with Python, machine learning tools, deep learning frameworks, SQL/relational databases, NoSQL databases, vector databases, distributed machine learning, Linux and shell scripting
- Experience with cloud computing services such as AWS or Azure ML.
Benefits
- Competitive salary
- Generous paid time off policy
- Charity match program
- Group Medical Insurance
- Parental Leave
- Employee Assistance Program (EAP)
- Opportunity to purchase company stock at a discount
- Professional development and unlimited growth opportunities
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