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Gartner · 4 months ago

Associate Data Scientist - Spring 2026 Master's level graduates

Stamford, CT

Full-time

Hybrid

New Grad, Entry Level

2+ years exp

Gartner, Inc. is a leading research and advisory company that guides enterprise leaders through expert analysis and bold ideas. They are seeking an Associate Data Scientist to execute large-scale data modeling projects, provide analytical insights, and collaborate with business stakeholders to enhance operational efficiency and customer value.

Business DevelopmentConsultingInformation Technology

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

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, 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

Qualification

Data modelingStatistical principlesMachine LearningPythonNatural Language ProcessingSQLSparkPredictive modelingMLOpsCommunication skillsTeam collaboration

Required

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

Proven ability to influence key stakeholders and leaders

This role requires U.S. work authorization