Data Scientist

About The Role
Join our fast-growing Global Product Management Data Science team and help transform Gartner’s Client Experience Digital Platform—the essential destination for IT and business leaders worldwide. As a data scientist, you’ll leverage advanced analytics and machine learning to create intelligent, scalable solutions that deliver real value and enhance every step of our clients’ journey.
In this role, you will work on complex data science projects in partnership with cross-functional teams, build and enhance AI-powered chatbot systems that deliver intelligent, personalized experiences at scale. You’ll develop cutting-edge conversational AI tools—including intelligent search, recommendation engines, and context-aware content systems—while ensuring seamless integration with enterprise platforms.
What You Will Do

• Work on data science projects in close collaboration with Data Engineering, Application development, Product owners and business leaders to deliver high-value business capabilities
• Build and enhance AI-powered chatbot capabilities to provide intelligent, context-aware client support
• Develop intelligent tools and systems that power conversational AI, including search, recommendation, and content retrieval capabilities
• Build user understanding and personalization models to identify client cohorts and tailor interactions
• Implement and optimize Model Context Protocol (MCP) servers to enable seamless integration between AI agents and enterprise systems
• Leverage internal and external data to understand client's company-level priorities and deliver targeted support
• Maintain high-quality data science solutions with proper documentation and code-reusability principles
• Stay on top of fast-moving AI/ML models and technologies, particularly in the LLM and conversational AI space
• 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

• 1-3 years hands-on experience building chatbots, conversational AI systems, or other machine learning/artificial intelligence applications to drive business impact
• Bachelor's or Master's Degree in a quantitative field (math, computer science, engineering, etc.) required
• Strong communication skills in technical and business domains with demonstrated ability to translate quantitative analysis into actionable business strategies
• Working experience in some of the following data science areas:

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

• Familiarity with Model Context Protocol (MCP) and building tools for AI agents
• Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle
• Practical, intuitive problem solver with ability to translate business objectives into actionable data science tasks and implement latest ML research
• 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), NoSQL databases (e.g., MongoDB, graph database), vector databases, distributed machine learning (spark), Linux and shell scripting
• Experience with cloud computing services such as AWS 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

What You Will Get

• Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!
• Collaborative, team-oriented culture that embraces diversity
• Professional development and unlimited growth opportunities

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.
Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 98,000 USD - 133,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.
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.
Job Requisition ID:106862
By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence.
Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy
For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.