Gartner
Associate Data Scientist - Spring 2026 Master's level graduates
Gartner, Stamford, Connecticut, United States, 06925
Overview
Associate Data Scientist. The Insights and Product Analytics (IPA) team supports Gartner’s Business and Technology Insights by performing analysis across client value drivers, including Research content, client interaction, conferences, and events. IPA also enables and analyzes activities for the BTI organization, including client retention analytics, associate performance analytics, budget and financial analysis, and client demand sensing. We provide data, insights, and analytic tools to drive fact-based decision making to improve operations and customer value. We are committed to attracting creative, talented, and motivated students for Associate Data Scientist and Data Scientist roles. What you’ll do
Execute large scale, high impact data modeling projects with responsibility for designing, developing, validating, socializing, operationalizing, and maintaining data-driven analytics that provide business insights to increase operational efficiency and customer value. Provide ad hoc modeling and analytical insights to inform strategic and operational initiatives. Conduct all phases of the analytics process, including understanding business issues, proposing technical solutions, data wrangling, cleaning, analysis, feature engineering, model selection, development, validation, operationalization, presentation of results, implementation, and documentation. Convert top-down business initiative requirements into actionable data analytics projects and conceive bottom-up analytics innovations. Communicate technical solutions and results to business stakeholders. Partner with business stakeholders, IT, and Project Management to lead the design and delivery of innovative analytics solutions. Apply the most applicable technologies including Machine Learning, Artificial Intelligence, Generative AI, Natural Language Processing, and Statistical Modelling. Job Requirements
Education: Master’s degree or Bachelor’s degree with at least 2 years of related experience. Degrees in Engineering, Masters of Statistics, Computer Science, Mathematics, Applied Mathematics, Data Science, or related field preferred. Experience in data modeling within a business environment. In-depth knowledge of statistical principles and their application in modeling and data analysis. Experience developing and applying descriptive, predictive, and prescriptive models. In-depth NLP knowledge and application experience. Expertise in Python, SQL, Spark; basic skills in Power BI, Excel, and PowerPoint. Experience with modeling techniques such as Time Series, Random Forests, Clustering, Neural Networks, Generalized Linear Models, Optimization, DOE, and Dimensionality Reduction. Experience with churn analysis, profiling, and recommendation systems. MLOps experience (deploying models/algorithms into production systems). Ability to work in a fast-paced environment and deliver against milestones. Excellent communication skills in technical and business domains. Proven ability to influence key stakeholders and leaders. Work authorization: This role requires U.S. work authorization. #LI-DNI About Gartner
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 1979, we have grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We hire associates with intellectual curiosity, energy, and drive to make a difference. The bar is high, and so is the impact you can have here. What makes Gartner a great place to work?
We offer opportunities for professional growth and a collaborative, inclusive culture. Our teams are diverse and work together to deliver results for clients. We are recognized worldwide as a great place to work. We offer world-class benefits, competitive compensation, and rewards for top performers. Our hybrid work environment supports flexibility and engagement, with opportunities to work virtually and in a vibrant office community. Compensation and Benefits
Base salary range: 88,000 USD – 116,000 USD, with variability based on factors such as education, experience, and location. In addition to base pay, employees may participate in an annual bonus plan or role-based incentive plans. We offer PTO, a 401(k) match up to 7,200 USD per year, stock purchase opportunities, and other benefits. The policy of Gartner is to provide equal employment opportunities to all applicants and employees regardless of race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, disability, veteran status, or any other legally protected status, and to advance equal opportunity principles. Gartner is committed to being an Equal Opportunity Employer and provides accommodations for applicants with disabilities upon request. Job Requisition ID: 103575 Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please use the back button within the application tool.
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Associate Data Scientist. The Insights and Product Analytics (IPA) team supports Gartner’s Business and Technology Insights by performing analysis across client value drivers, including Research content, client interaction, conferences, and events. IPA also enables and analyzes activities for the BTI organization, including client retention analytics, associate performance analytics, budget and financial analysis, and client demand sensing. We provide data, insights, and analytic tools to drive fact-based decision making to improve operations and customer value. We are committed to attracting creative, talented, and motivated students for Associate Data Scientist and Data Scientist roles. What you’ll do
Execute large scale, high impact data modeling projects with responsibility for designing, developing, validating, socializing, operationalizing, and maintaining data-driven analytics that provide business insights to increase operational efficiency and customer value. Provide ad hoc modeling and analytical insights to inform strategic and operational initiatives. Conduct all phases of the analytics process, including understanding business issues, proposing technical solutions, data wrangling, cleaning, analysis, feature engineering, model selection, development, validation, operationalization, presentation of results, implementation, and documentation. Convert top-down business initiative requirements into actionable data analytics projects and conceive bottom-up analytics innovations. Communicate technical solutions and results to business stakeholders. Partner with business stakeholders, IT, and Project Management to lead the design and delivery of innovative analytics solutions. Apply the most applicable technologies including Machine Learning, Artificial Intelligence, Generative AI, Natural Language Processing, and Statistical Modelling. Job Requirements
Education: Master’s degree or Bachelor’s degree with at least 2 years of related experience. Degrees in Engineering, Masters of Statistics, Computer Science, Mathematics, Applied Mathematics, Data Science, or related field preferred. Experience in data modeling within a business environment. In-depth knowledge of statistical principles and their application in modeling and data analysis. Experience developing and applying descriptive, predictive, and prescriptive models. In-depth NLP knowledge and application experience. Expertise in Python, SQL, Spark; basic skills in Power BI, Excel, and PowerPoint. Experience with modeling techniques such as Time Series, Random Forests, Clustering, Neural Networks, Generalized Linear Models, Optimization, DOE, and Dimensionality Reduction. Experience with churn analysis, profiling, and recommendation systems. MLOps experience (deploying models/algorithms into production systems). Ability to work in a fast-paced environment and deliver against milestones. Excellent communication skills in technical and business domains. Proven ability to influence key stakeholders and leaders. Work authorization: This role requires U.S. work authorization. #LI-DNI About Gartner
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 1979, we have grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We hire associates with intellectual curiosity, energy, and drive to make a difference. The bar is high, and so is the impact you can have here. What makes Gartner a great place to work?
We offer opportunities for professional growth and a collaborative, inclusive culture. Our teams are diverse and work together to deliver results for clients. We are recognized worldwide as a great place to work. We offer world-class benefits, competitive compensation, and rewards for top performers. Our hybrid work environment supports flexibility and engagement, with opportunities to work virtually and in a vibrant office community. Compensation and Benefits
Base salary range: 88,000 USD – 116,000 USD, with variability based on factors such as education, experience, and location. In addition to base pay, employees may participate in an annual bonus plan or role-based incentive plans. We offer PTO, a 401(k) match up to 7,200 USD per year, stock purchase opportunities, and other benefits. The policy of Gartner is to provide equal employment opportunities to all applicants and employees regardless of race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, disability, veteran status, or any other legally protected status, and to advance equal opportunity principles. Gartner is committed to being an Equal Opportunity Employer and provides accommodations for applicants with disabilities upon request. Job Requisition ID: 103575 Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please use the back button within the application tool.
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