Associate Data Scientist - Spring 2027 Master's level graduates

• Education: Master’s degree or Bachelor’s Degree with at least 2 years of related experience required.

-Degrees in Engineering, Masters of Statistics, Computer Science, Mathematics, Applied Mathematics, Data Science, or related field preferred.

• 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.
• Work authorization: This role requires U.S. work authorization

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Who are we?

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we’ve grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories.

We do important, interesting and substantive work that matters.

That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference.

The bar is unapologetically high.

So is the impact you can have here.

What makes Gartner a great place to work?

Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally.

How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team.

Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results.

This is why, year after year, we are recognized worldwide as a great place to work.

Gartner is the world authority on AI

At Gartner, you’ll join a company at the very center of the AI revolution.

Gartner has proactive, objective guidance throughout clients’ AI journeys.

We set the standard for how organizations leverage artificial intelligence to drive meaningful impact.

You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.

It’s an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate.

If you’re passionate about AI and want to be part of a team that’s guiding the leaders who shape the world, Gartner is the place for you.

What do we offer?

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.

In our hybrid work environment, we provide the flexibility and support for you to thrive — 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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