▷ (19/10/2025) Sr Data Scientist

Job Description 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 - Solve Search value stream problems and help improve Gartner's client experience in finding the most meaningful and valuable insights - Build user query understanding and intent refinement models to refine query to content similarity - Build and incorporate LLMs in addition to vector search capabilities - 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 hands-on experience building predictive models, search systems, or other machine learning/artificial intelligence applications to drive 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. - Strong communication skills in technical and business domains - Working experience in some of the following data science areas: - Machine Learning and Predictive modeling - Text mining and Natural Language Processing - Search or Recommendation systems - Data analytics with multi-dimensional data - Generative models - 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 - Ability to implement latest ML research to improve our current algorithms - Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning (e.g., pytorch, tensorflow), 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 - Experience with cloud computing services such as AWS or Azure ML - 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 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 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 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. 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