Global Sales Services Operations (GSSO) is the team that helps shape Gartners mission-critical sales and services priorities and works with sales and services leaders to drive tactical and analytical insights. As an associate on the GSSO team, youll be at the forefront of the ongoing transformation of Gartners sales and services teams, which are delivering approximately $4.9B in annual revenue and working to drive sustained double-digit growth. You will partner with business leaders across Gartner to support global sales and services teams comprised of nearly 9,000 associates who sell to and service every major function, industry and market sector around the world.

About the role

The Sr. Data Scientist role is part of the Territory Planning Analytics (TPA) team in GSSO. The TPA team is focused on designing the optimal territory investment, design and alignment strategy to maximize Sales (and Services) productivity.

This is an internal consulting team that partners with Gartner s sales leaders to determine where, when, and how the company should direct its substantial investment in incremental sales professionals. The individual in this role will collaborate with sales leaders to guide strategic investment and go-to-market decisions at regional and global levels.

What you will do:

Build and incorporate LLMs/RAG for simplifying user s experience.
Stay on top of fast-moving AI/ML models and technologies, particularly in LLMs, conversational AI, and agentic systems
Continuous monitoring and evaluation of model performance and metrics.
Take ownership of algorithms and drive enhancements/optimizations based on business requirements with proper documentation and code-reusability
Be responsible for high quality data science solutions with respect to accuracy and coverage.
Be accountable for solutions scalability, stability, and business adoption
Responsible for maintaining proper documentation and further code-reusability principles
Responsible for ownership of algorithms and its enhancements/optimizations as per business requirement
Mentor junior data scientists on chatbot development, LLM applications, and best practices

What you will need:

BS/MS/PhD in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on ML/AI, Information Retrieval a plus)
5+ years of hands-on experience building conversational AI systems, chatbots, LLM applications, or other advanced machine learning/artificial intelligence solutions to drive business impact
Minimum 4+ years of experience in python coding and statistical analysis
Working experience in some of the following data science areas:

Large Language Models (LLMs) and Generative AI
Conversational AI, chatbot development, and dialogue systems
Natural Language Processing and text mining
Search and Recommendation systems
Prompt engineering, LLM fine-tuning, and model optimization
AI agent architectures and orchestration

Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle.
Ability to implement latest ML research to improve our current algorithms
Practical, intuitive problem solver with proven ability to translate business objectives into actionable data science tasks and implement state-of-the-art ML research into production systems
Experience with cloud computing services such as AWS or Azure ML
Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), statistical packages (e.g., Scipy), SQL/relational databases (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph database), distributed machine learning (spark), Linux and shell scripting
Practical, intuitive problem solver with a demonstrated ability to translate business objectives into actionable data science tasks and translate quantitative analysis into actionable business strategies

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Sr. Data Scientist

Job Description

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