Director, QUADS (Data Analysis, Data Science, Machine Learning, Data Modeling)

About this Role:

Gartner’s High-Tech Invest (HTI) Research Group advises technology companies on the strategic business issues that help make them successful in their market.  In this group, the Emerging Market Dynamics Data Science team collaborates across the Group to deliver world-class insights from data and model assets, driving an undisputed competitive advantage and valuable insights.

If you are an impact-driven, self-motivated problem solver who thrives in a fast-paced agile environment, who has proven strong data science skills and is passionate about analyzing large datasets to uncover new and powerful insights that are driving and influencing the high-tech industry, then this is the role for you. 

Our team of data scientists collaborates closely across HTI to understand business and data requirements, creating powerful and impactful research insights through data science techniques. We leverage Gartner’s proprietary and third-party data assets to achieve this. New and ongoing projects are targeted toward developing innovative insights that can be scaled into data products and purpose-built models that amplifies Gartner’s ability to deliver thought-leading content and engagements with senior leaders at high-tech providers, including market leaders and startups.

What will you do:

• Think critically and work with complex requirements, breaking those into solvable workstreams, to be analyzed using the right quantitative models to discover meaningful trends, insights, and information that will inform Gartner’s world-class research.
• Pilot innovative ways to discern demand indicators from a variety of Gartner proprietary and publicly available data sources
• Build and design LLM interfaces that allow Gartner’s analysts to gain a better understanding of A.I. trends as well as client priorities.
• Perform comprehensive descriptive analytics to identify patterns and insights that influence high-tech business strategies.
• Develop and maintain HTI intellectual property by using statistical methods to analyze data, identify trends, apply machine learning and optimization for actionable insights that deliver clear business value.
• Develop and continuously improve a methodology to measure the predictive power of various proprietary and publicly available demand signals
• Be responsible for high-quality, secure data science solutions with respect to proper documentation, further code-reusability principles, accuracy, scalability, and stability.
• Stay current on fast-moving advancements in A.I. / machine learning technologies and techniques. Understand and follow disruptive data science solutions
• Use an iterative approach for model development with cross-validation to enhance performance and prevent overfitting.
• Develop deep familiarity with existing datasets and models while continuously evaluating and exploring additional datasets.
• Communicate clearly the modeling approach and complex data findings based on a command of the facts, analysis, and understanding of the requirements. 

Qualifications:

• Experience: 9+ years of progressive business experience involving advanced analytics, complex problem solving, and data science
• Education: Bachelor’s degree required with a master’s degree preferred. Degree with a concentration in statistics, data science, mathematics, engineering, computer science, or relevant concentration.
• Analysis & Modeling: Expertise in Exploratory Data Analysis (EDA) and implementing core statistical and machine learning models.
• Machine Language Operations (MLOps) & Deployment: Proven ability to deploy, monitor, and scale models in production environments.
• Data Pipeline Development: Design and optimize robust, high-volume data pipelines for training and inference.
• Cloud & Infrastructure: Proficient with AWS, GCP, Azure and tools (e.g., Databricks) for large-scale data and model management.
• Advanced AI: Integration of LLMs/NLP models into production workflows, focusing on scale and performance.
• Programming: Strong proficiency in Python, with experience using relevant libraries for data analysis, machine learning, and numerical computing for developing scalable engineering solutions.
• Exceptional problem solver, capable of taking loosely defined requirements and translating those into actionable science tasks and practical application and effectively communicating methodologies and quantitative analysis to diverse audiences.
• Ability to work in a fast-paced work environment thrives on feedback and seeks opportunities to stretch outside your comfort zone.
• Strong organizational and prioritization skills; in environments with competing and continuously evolving priorities, with the ability to work under tight deadlines and produce high-quality deliverables.
• Strong business acumen and intellectual curiosity with a passion for understanding enterprise technology markets from both a business and technology perspective.

#LI-SN2

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 21,000 associates globally who support ~14,000 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.

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.

The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.

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Job Requisition ID:101167

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