Sr Data Scientist

Gartner UK

Irving, TX, United States
Base: 113,000 usd - 147,000 usd; bonus/equity: ann...
Hybrid
Advanced machine learning and ai modeling
Python programming with data science libraries
Experience with large language models and generative ai
You will serve as a technical expert in developing and implementing advanced machine learning/AI models and analytical solutions to improve Gartner's data quality and drive business value

Job Summary

  • You will serve as a technical expert in developing and implementing advanced machine learning/AI models and analytical solutions to improve Gartner's data quality and drive business value.
  • Gartner offers competitive compensation, limitless growth and learning opportunities, and a collaborative and positive culture with flexible hybrid work arrangements.
  • The company is committed to diversity, equity, and inclusion, providing extensive benefits including medical, dental, vision, 401K match, parental leave, tuition reimbursement, and employee stock purchase plans.

Matching Summary

You will serve as a technical expert in developing and implementing advanced machine learning/AI models and analytical solutions to improve Gartner's data quality and drive business value.

Salary

Base: 113,000 USD - 147,000 USD; Bonus/Equity: Annual bonus or uncapped sales incentive plan; Benefits: Generous PTO, 401k match, stock purchase, medical and wellness programs

Skills & Requirements

Must-have

  • Advanced machine learning and AI modeling
  • Python programming with data science libraries
  • Experience with large language models and generative AI
  • Proficiency in SQL
  • MLOps tools and model deployment
  • Data pipeline and infrastructure collaboration

Nice-to-have

  • Excellent communication skills for non-technical audiences
  • Collaborative cross-functional teamwork
  • Action oriented with fast delivery
  • Intellectually curious and continuous learner
  • Inclusive and diverse team culture

Key Requirements

  • Bachelor's degree or higher in related quantitative field
  • 6-8 years of data science experience
  • Proven track record delivering data science and AI projects
  • Knowledge of software development practices
  • Experience deploying models on AWS, Azure, or GCP

Work Rights

Not specified

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