Director, QUADS

Gartner for HR

9 - 14 years

11 - 16 Lacs

gurugram

Posted:-1 days ago| Platform:

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Skills Required

advanced analytics python project management production microsoft azure problem solving business development business acumen machine learning research strategic planning sql pipeline tableau exploratory data analysis operations data science gcp aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

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.

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