Associate Data Scientist

The Insights and Product Analytics team (IPA) organization is responsible for business performance of all research products and performs analysis related to all aspects of Gartner's Business and Technology Insights business unit. This includes client value drivers:
Research content, client interaction, and the insights into conferences and events. IPA also supports the BTI organization by enabling and performing analysis running from client retention analytics, associate performance analytics, budget and financial analysis (in partnership with the finance organization), and client demand sensing. We power fact-based decision making by providing data, insights, and analytic tools to continuously improve our business – operationally and strategically.

We’re committed to attracting the most creative, talented, and motivated students for our Associate Data Scientist and Data Scientist roles.

• 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:
  Understanding business issues, proposing technical solutions, data wrangling, data cleaning, data analysis, feature engineering, model selection, model development, model validation, model operationalization, presentation of results and insights, model implementation, model documentation.
• Convert “top-down” business initiative requirements into actionable data analytics projects as well as conceiving and proposing “bottom-up” analytics innovations.
• Communicate technical solutions and results to business stakeholders.
• Partner with business stakeholders, IT, Project Management and lead the design and delivery of innovative analytics solutions.
• Inject the most applicable technology, including Machine Learning, Artificial Intelligence, Generative AI, Natural Language Processing, and Statistical Modelling.

• Education:
  
  Master's degree or Bachelor's Degree with at least 2 years of related experience required.
• Degrees in Engineering, Masters of Statistics, Computer Science, Mathematics, Applied Mathematics, Data Science, or related field preferred.
• Previous experience must include data modeling experience in a business environment.
• In-depth knowledge of statistical principles and their application in modeling and data analysis.
• Experience developing and applying descriptive, predictive, prescriptive models.
• In-depth NLP knowledge and application experience.
• Expertise in Python, SQL, Spark. Basic skills in PBI, Excel, Power Point.
• Experience with multiple modeling techniques such as:
  Time Series, Random Forests, Clustering, Neural Networks, Generalized Linear Models, Optimization, DOE, Dimensionality Reduction.
• Experience with churn analysis, profiling, recommendation systems.
• MLOps experience (implementing 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.

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.

Our vast, virtually untapped market potential offers limitless opportunities –…