Data Scientist

Gartner

Data Scientist using Generative AI and LLMs to derive insights and drive client value at Gartner. Join a collaborative team focused on innovative problem-solving in the tech industry.

Posted 6/4/2026full-timeNew York City • Florida, New York, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $98,000 - $133,000 per yearWebsite

ATS Keywords

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Hard Skills

PythonMachine LearningStatistical AnalysisNatural Language ProcessingData MiningRecommendation SystemsPrompt EngineeringFeature EngineeringCustomer Churn PredictionData Processing

Industry Keywords

Large Language ModelGenerative AIClient Retention DataUnstructured DataDigital FootprintUser Behavior ModelingInformation RetrievalData Science MethodologiesBusiness WorkflowActionable Insights

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Designing and implementing state of the art Large Language Model (LLM) based agents that seamlessly synthesize complex information and initiate important actions in a business workflow.
Using advanced Generative AI techniques deriving actionable insights from unstructured text data, such as call transcripts and emails.
Predicting client interest basis their digital footprint and making relevant recommendations to drive higher client value delivery
Leverage statistical and machine learning techniques to extract actionable insights from client retention data.
Develop customer churn prediction models that proactively identify at-risk clients.
Build tools to process structured and unstructured data.
Engineering features and signals to train ML model from diverse data collection

Requirements

What you’ll need

BS required/ MS/ preferred; in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus)
4 years’ experience in data science methodologies as applied to live initiatives or software development
Minimum 4+ years of experience in python coding and statistical analysis
Minimum 2 years working experience in several of the following:
o Prompt Engineering and working with LLMs
o Machine Learning and statistical techniques
o Data mining and recommendation systems
o Natural Language Processing and Information Retrieval
o Experience working with large volumes of data
o User behavior modeling

Benefits

Comp & perks

generous PTO
401k match up to $7,200 per year
the opportunity to purchase company stock at a discount
competitive compensation
annual bonus plan based on company and individual performance