Time since we first saw it
Day 44
Similar jobs usually come down between day 7 and day 57.
At Gartner, jobs usually come down by about day 39.
From 10,558 similar postings that came down, and 102 of Gartner’s. Coming down is not always a hire.
Lead Data Scientist
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingBuild and enhance AskGartner (Gartner’s AI Advisor) with insights and capabilities from Gartner events and ensure seamless user experience between Events and Gartner.com digital platforms
Build in-house Agentic products & fine tune LLMs to improve AskGartner and Gartner conferences’ Agentic products
Build and enhance AskGartner using insights from Gartner events
Build and optimize recommender systems for Gartner conferences
Build and roll out ML, NLP and deep learning models for attendee and exhibitor growth
Improve MLOps with data pipelines, model monitoring and training
Build offline evaluation frameworks tied to measurable product metrics
From the employer’s posting
Build and enhance AskGartner (Gartner’s AI Advisor) with insights and capabilities from Gartner events and ensure seamless user experience between Events and Gartner.com digital platforms
Build in-house Agentic products & fine tune LLMs to improve AskGartner and Gartner conferences’ Agentic products
Build and enhance AskGartner (Gartner’s AI Advisor) with insights and capabilities from Gartner events
Build & optimize Recommender systems for Gartner Global Conferences.
Build & Roll-out ML/NLP/Deep learning models to improve Attendees/Exhibitor acquisition & retention
Improve upon MLOps capabilities by building and optimizing data pipelines, model monitoring and training capabilities
Build Evaluation Frameworks to ensure products development are tied to metrics that move the needle and can be measured offline
What you’ll bring
All qualificationsCore experience
- 8+ years of hands-on experience in data science alongside a degree in computer science, statistics, mathematics or a related field.
- Hands on experience with GenAI dev tools and frameworks like LangGraph/Langchain, Langfuse
- Experience building recommender systems, search engine & query pipelines for end user applications
- Experience building and deploying enterprise grade machine learning/NLP/Deep learning, AI Agents in close collaboration with engineering and product managers
- Experience building and deploying machine learning models in close collaboration with engineering – good understanding of CI/CD pipelines
- Hands-on experience with big data technologies (PySpark) and familiarity with cloud platforms (AWS, GCP, Azure) to explore insights and working with complex datasets
Preferred experience
- Experience leveraging and fine-tuning Large Language Models (LLMs) or building/distilling SLMs is a plus
Qualification wording
8+ years of hands-on experience in data science alongside a degree in computer science, statistics, mathematics or a related field. Masters or PHD highly preferred
Hands on experience with GenAI dev tools and frameworks like LangGraph/Langchain, Langfuse
Experience building recommender systems, search engine & query pipelines for end user applications
Experience building and deploying enterprise grade machine learning/NLP/Deep learning, AI Agents in close collaboration with engineering and product managers
Experience building and deploying machine learning models in close collaboration with engineering – good understanding of CI/CD pipelines
Hands-on experience with big data technologies (PySpark) and familiarity with cloud platforms (AWS, GCP, Azure) to explore insights and working with complex datasets
Experience leveraging and fine-tuning Large Language Models (LLMs) or building/distilling SLMs is a plus
Education & alternatives
The ideal candidate will have • 8+ years of hands-on experience in data science alongside a degree in computer science, statistics, mathematics or a related field. Masters or PHD highly preferred • Hands on experience with GenAI dev tools and frameworks like LangGraph/Langchain, Langfuse
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 24, 202644 days ago
- Recorded sightings
- 104
- Last seen by us
- Nov 8, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Gartner is hiring
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- AWS
- Azure
- GCP
- Hugging Face
- PySpark
- PyTorch
- scikit-learn
- Streamlit
- TensorFlow
Where the posting names them
• Experience leveraging and fine-tuning Large Language Models (LLMs) or building/distilling SLMs is a plus • Solid programming skills in Python, data science libraries (scikit-learn, TensorFlow/PyTorch, HuggingFace, etc.) and GenAI tools like claude-code, copilot • Experience building and deploying machine learning models in close collaboration with engineering – good understanding of CI/CD pipelines
• Experience building and deploying machine learning models in close collaboration with engineering – good understanding of CI/CD pipelines • Hands-on experience with big data technologies (PySpark) and familiarity with cloud platforms (AWS, GCP, Azure) to explore insights and working with complex datasets • Strong ability to communicate technical concepts to non-technical audiences
• Build & Roll-out ML/NLP/Deep learning models to improve Attendees/Exhibitor acquisition & retention • Work closely with business to refine requirements around conferences business, build quick POCs, present findings in a consumable report or streamlit app • Enrich conferences client dataset by leveraging scraping, predictive and generative ai tooling & capabilities
Your next step
Complete your application on gartner.wd5.myworkdayjobs.com. The employer’s form will show what is required.
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Already applied? Track this application
Has Gartner posted this job before?
Yes. We’ve followed one other Lead Data Scientist job there since August 2026. It is still up.
About Gartner
- People
- About 20,244 in 2025, down 4% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as IT.
- H-1B visas
- 14 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
What makes Gartner a GREAT fit for you?
When you join Gartner, you’ll be part of a fast-growing team that helps the world become smarter and more connected. We’re the leader in our industry, achieving double-digit growth by helping clients make the right decisions with business and technology insights they can’t find anywhere else. Our associates enjoy a collaborative work environment, exceptional training and career development – as well as unlimited growth potential. If you like working with a generous, supportive, high-performing team, Gartner is where you want to be.
Who we are ?
Gartner is a people business. Fueled by expert analysis, bold ideas and intellectual courage - we are a team of thinkers, doers and lifelong learners. We are innately curious, driven, disciplined and humble.
The Digital Experience Platform 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.
About the role :
As a Lead Data Scientist, you will:
• Build and enhance AskGartner (Gartner’s AI Advisor) with insights and capabilities from Gartner events and ensure seamless user experience between Events and Gartner.com digital platforms
• Build in-house Agentic products & fine tune LLMs to improve AskGartner and Gartner conferences’ Agentic products
• Build & optimize Recommender systems for Gartner Global Conferences. These models ensure improved user experience before, during and after a conference
• Build & Roll-out ML/NLP/Deep learning models to improve Attendees/Exhibitor acquisition & retention
• Work closely with business to refine requirements around conferences business, build quick POCs, present findings in a consumable report or streamlit app
• Enrich conferences client dataset by leveraging scraping, predictive and generative ai tooling & capabilities
• Improve upon MLOps capabilities by building and optimizing data pipelines, model monitoring and training capabilities
• Build Evaluation Frameworks to ensure products development are tied to metrics that move the needle and can be measured offline
• Automated solutions that help conferences business and strategy teams with analytics and insights capabilities for efficient decision making
• Work closely with business and engineering counterparts to develop & deploy solutions involving production grade micro-services, data pipelines, insight dashboards
Qualifications:
The ideal candidate will have
• 8+ years of hands-on experience in data science alongside a degree in computer science, statistics, mathematics or a related field. Masters or PHD highly preferred
• Hands on experience with GenAI dev tools and frameworks like LangGraph/Langchain, Langfuse
• Experience building recommender systems, search engine & query pipelines for end user applications
• Experience building and deploying enterprise grade machine learning/NLP/Deep learning, AI Agents in close collaboration with engineering and product managers
• Experience leveraging and fine-tuning Large Language Models (LLMs) or building/distilling SLMs is a plus
• Solid programming skills in Python, data science libraries (scikit-learn, TensorFlow/PyTorch, HuggingFace, etc.) and GenAI tools like claude-code, copilot
• Experience building and deploying machine learning models in close collaboration with engineering – good understanding of CI/CD pipelines
• Hands-on experience with big data technologies (PySpark) and familiarity with cloud platforms (AWS, GCP, Azure) to explore insights and working with complex datasets
• Strong ability to communicate technical concepts to non-technical audiences
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 20,000 associates globally who support over 13,000 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.
Gartner is the world authority on AI
At Gartner, you’ll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients’ AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.
It’s an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate. If you’re passionate about AI and want to be part of a team that’s guiding the leaders who shape the world, Gartner is the place for you.
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.
Job Requisition ID:114007By 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
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- Location & working pattern
Gurgaon
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.
- Work authorization
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.