Data Scientist Associate

4 weeks ago

Stamford, Connecticut, United States Gartner Full time

About the Role:

Gartner is a people business, driven by expert analysis, bold ideas, and intellectual courage. We are a team of thinkers, doers, and lifelong learners, innately curious, driven, disciplined, and humble.

The Client Experience Digital Platform is the go-to place for all clients to interact with Gartner to get value. Our clients are IT and business leaders around the world, expecting help from Gartner on their most critical priorities. The Digital Platform is embedded in their workflows to help them on every step of their journey.

We are constantly looking for product management, UX, and data science leaders to help us accelerate innovation and disrupt the marketplace.

Key Responsibilities:

  • Build recommendation systems to suggest relevant content to clients.
  • Apply Natural Language Processing and predictive modeling to understand client interests.
  • Build user matching models to identify user cohorts.
  • Build Notification Send models to optimize notification send volume and schedule.
  • Leverage internal and external data to understand client company-level priorities, competitive landscape, and deliver targeted support.
  • Stay on top of fast-moving AI/ML models and technologies, understanding and following disruptive data science solutions.
  • Use a combination of quantitative and qualitative methodologies to prioritize ideas.
  • Collaborate with engineering and product teams to launch MVPs and iterate quickly.
  • Independently plan and drive data science projects that deliver clear business value.

Qualifications:

  • 0-2 years of hands-on experience building predictive models, recommendation systems, or other machine learning/artificial intelligence applications to drive business impact.
  • Bachelor's or master's degree in a quantitative field (math, computer science, engineering, etc.) required.
  • Demonstrated ability to translate quantitative analysis into actionable business strategies.
  • Strong communication skills in technical and business domains.
  • Working experience in some of the following data science areas: machine learning and predictive modeling, text mining and Natural Language Processing, recommendation systems, data analytics with multi-dimensional data, generative models.

What We Offer:

Gartner offers world-class benefits, highly competitive compensation, and disproportionate rewards for top performers. We provide the flexibility and support for you to thrive in our hybrid work environment, working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging, and inspiring.

Ready to grow your career with Gartner? Join us.

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