Associate Data Scientist - Spring 2027 Master's level graduates
Irving, TXAll locationsIrving, TXStamford, CT Hybrid
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About the role
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. Gartner believes in fair and equitable pay. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates.
What you'll bring
- Master ’ s degree or Bachelor ’ s Degree with at least 2 years of related experience required.
- 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.