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Gartner

Associate Data Scientist

Gartner

. Build AI-powered solutions that accelerate Sales and Marketing productivity .

Posted 10/2/2026full-timeUnited StatesJuniorMid-Level💰 $90,000 - $118,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building AI-powered solutions, particularly with Large Language Models and Generative AI techniques, while effectively collaborating with cross-functional teams to translate business needs into scalable applications.

Highest-signal resume keywords
Large Language Model (LLM) DevelopmentNatural Language Processing (NLP)Python ProgrammingData Science TechniquesPrompt Engineering

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningStatistical AnalysisSQLData AnalysisModel EvaluationAgent OrchestrationRetrieval TechniquesBusiness Workflow AutomationRecommendation SystemsPrototyping AI Solutions
Soft Skills
Problem-SolvingCuriosityGrowth MindsetCollaborationOrganizational Skills
Certifications & Qualifications
BS/MS/PhD in Computer ScienceData ScienceMathematicsStatisticsEconomics
Industry Keywords
Generative AIAI SolutionsSales and Marketing ProductivityBusiness Impact EvaluationScalable Solutions

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Build AI-powered solutions that accelerate Sales and Marketing productivity
  • Design and implement Large Language Model (LLM)-based agents that synthesize information and automate business workflows
  • Apply NLP and Generative AI techniques to derive actionable insights from structured and unstructured data
  • Design, test, and optimize prompts, retrieval strategies, and agent workflows to improve AI performance and scalability
  • Build recommendation solutions, including prospect interest prediction and personalized outreach recommendations
  • Rapidly prototype AI capabilities, evaluate business impact, and transition successful pilots into production
  • Partner with Product Owners, Product Managers, business stakeholders, engineers, and data scientists to translate business needs into scalable solutions
  • Stay current on advancements in machine learning, Generative AI, and agentic systems and bring new ideas and best practices to the team

Requirements

What you’ll need
  • BS/MS/PhD in Computer Science, Mathematics, Data Science, Statistics, Economics, or a related field
  • 1+ years of experience applying data science and machine learning techniques through professional work, internships, or research
  • Experience with Python, SQL, statistical analysis, and databases
  • Curiosity and a growth mindset, with a strong interest in Generative AI and machine learning
  • Strong problem-solving skills and ability to work independently in ambiguous environments
  • Ability to communicate technical concepts and connect solutions to business outcomes
  • Experience with prompt engineering, retrieval techniques, model evaluation, or agent orchestration is a plus
  • Collaborative, inclusive, and respectful team player
  • Proven ability to manage tasks end-to-end and meet deadlines
  • Detail-oriented with strong organizational skills and innovative mindset

Benefits

Comp & perks
  • Competitive salary
  • Generous paid time off policy
  • Charity match program
  • Group Medical Insurance
  • Parental Leave
  • Employee Assistance Program (EAP)
  • Collaborative, team-oriented culture that embraces diversity
  • Professional development and unlimited growth opportunities
  • Hybrid work environment with virtual work flexibility
  • Annual bonus plan based on company and individual performance, or role-based, uncapped sales incentive plan
  • 401k match up to $7,200 per year
  • Opportunity to purchase company stock at a discount
  • Market-leading benefit programs