About this role
About the role:
This is a unique opportunity to join our fast-growing Global Product Management Data Science team. You will be working with the team managing ‘The Client Experience Digital Platform’ which is the go-to place for all clients to interact with Gartner to get value. Our clients are IT and business leaders around the world. They expect to get help from Gartner on their most critical priorities. The Digital Platform is embedded in their workflows to help them on every step of their journey. Our mission is to deliver tremendous client value by building scalable, intelligent digital products and solutions. We are constantly looking for product management, UX and data science leaders to help us accelerate innovation to disrupt the marketplace and disrupt ourselves.
What you will do:
Work on Data science projects in close collaboration with the Data Engineering team, Application development team, Product owners and business leaders to deliver high value business capabilities
Develop and enhance Gartner’s client-facing products by leveraging state-of-the-art technologies and frameworks to deliver accurate and contextually relevant responses to user queries across search and chat platforms.
Develop intelligent tools and systems that power conversational AI, including search, recommendation, and content retrieval capabilities.
Integrate diverse data sources and services into existing Gartner platforms utilizing tool-based agentic architectures, driving increased platform value, scalability, and innovation.
Build user query understanding and intent refinement models to refine query to content similarity
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
Collaborate with Director, Data Science in long term vision, strategy, and solution roadmap to align with bigger business objectives and mission critical priorities of the organization
Responsible to pitch ideas, present solutions and influence senior leaders with strong business value propositions
Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions
Collaborate with engineering and product teams to launch MVPs and iterate quickly
Independently plan and drive data science projects that deliver clear business value
What you will need:
6–8 years of hands-on experience designing and developing agentic AI applications utilizing MCP servers, advanced search systems, or other machine learning/artificial intelligence solutions to deliver measurable business impact.
Bachelor’s degree required while a master’s degree in a quantitative field (math, computer science, engineering, etc.) is strongly preferred
Demonstrated ability to translate quantitative analysis into actionable business strategies with strong communication skills in technical and business domains.
Demonstrated expertise in assessing model outputs and converting insights into actionable strategies that drive measurable business impact, with a focus on ensuring that analytical solutions deliver tangible and quantifiable value beyond model development.
Working experience in some of the following data science areas:
LLMs, Generative AI, and RAG based Applications
AI agent architectures and orchestration
Conversational AI and chatbot development
Text mining and Natural Language Processing
Search or Recommendation systems
Data analytics with multi-dimensional data
Familiarity with Model Context Protocol (MCP) and building tools for AI agents to enable seamless integration between AI agents and enterprise systems
Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle
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
Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning frameworks (e.g., huggingface, pytorch, tensorflow), LLM frameworks (e.g., LangChain, LlamaIndex), SQL/relational databases (e.g., Oracle), Graph database, vector databases, distributed machine learning (spark), Linux and shell scripting
Experience with cloud computing services such as AWS, GCP or Azure ML
Ability to work collaboratively across product, data science and technical stakeholders in a culture that thrives on feedback
Bias for action and client outcome oriented
Who are we?
At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.
Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.
Since our founding in 1979, we’ve grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.
What makes Gartner a great place to work?
Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.
We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.
Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.
We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.
What do we offer?
Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.
In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.
Ready to grow your career with Gartner? Join us.
The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.
Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com.
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