The Client Experience Digital 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.

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.

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.

As a lead data scientist on the Search and GenAI team, you will develop and deploy algorithms that help our clients leverage our digital platform to quickly answer their most critical business questions.

What you will do:

The Lead Data Scientist responsibilities may include, but are not limited to:

· Build state of the art search and recommendation products

· Training and deploying transformer-based language models to aid in information retrieval, including cross-encoders, bi-encoders, classification, extraction, and generative models.

· Leverage generative AI for internal and client facing applications.

· Productionize deep learning models using scalable inferencing solutions.

· Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption.

· Collaborate with engineering and product teams to launch MVPs and iterate quickly.

· Use a combination and quantitative (science) and qualitative (art) methodologies to prioritize ideas.

· Independently plan and drive data science projects that deliver clear business value.

What you will need:

The ideal candidate will have

· Master’s Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required.

· 5+ years hands-on experience building search engines, recommendation systems, or other machine learning/artificial intelligence applications in production settings.

· Excellent coding skills with Python machine learning tools (e.g., scikit-learn, pytorch, huggingface)

· Experience using LLMs (e.g., OpenAI, Cohere, Anthorpic, Llama, etc) to deliver business outcomes.

· Proficiency with text and vector based search tools, such as SOLR or Elastic.

· Experience with cloud computing services such as AWS or Azure ML

· Ability to implement latest ML research to improve our current algorithms.

· Practical, intuitive problem solver with a demonstrated ability to translate business objectives into actionable data science tasks and production outcomes.

· Strong communication skills in technical and business domains.

· Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle.

· Ability to work collaboratively across product, data science and technical stakeholders.

· Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone.

· Bias for action and client outcome oriented

#LI-MG4

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 insight, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we’ve grown to more than 20,000 associates globally who support ~15,000 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 sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. 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 affirmatively seek to advance the principles of equal employment opportunity.

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