Data Scientist at Gartner

Short Description:

The Pod Member in PADS at Gartner contributes technical expertise and inquisitiveness to drive successful model-building projects. Responsibilities include collaborating with an HR Data Science Pod, creating and executing project plans for predictive and inferential models, deploying and maintaining models with ethical considerations, and applying Machine Learning and Statistical methods to optimize HR processes. The role emphasizes testing models for fairness and bias, utilizing MLOps infrastructure, and translating business problems into actionable models. Gartner offers competitive benefits, a collaborative team culture, and recognizes the importance of diversity and inclusion in the workplace.

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Position: Data Scientist

Company: Gartner

Location: Gurgaon, Haryana, India

Mode: Onsite

Job Requisition ID: 82523

 

About the Position

As a member of the PADS team, the Pod Member plays a crucial role in contributing technical expertise and inquisitiveness to drive the success of model-building projects for the business. This multifaceted role requires proficiency in Machine Learning, Data Extraction, Data Exploration, and Statistics. By combining these skills, the Pod Member will facilitate the delivery of accurate and ethical results within specified timelines. Responsibilities include justifying design decisions, engaging in challenging model purposes, and ensuring efficacy.

Responsibilities:

• Collaborate with an HR Data Science Pod to deliver predictive and inferential models addressing business needs.
• Develop and execute project plans, constructing models and data-driven products.
• Deploy and maintain models, scrutinizing data sources and modeling approaches with an ethical and unbiased perspective.
• Quickly comprehend new data sources, extracting information efficiently for modeling and inference.
• Collaborate with technical teams to transition models from exploration to deployment.
• Apply Machine Learning and Statistical methods to optimize HR processes.
• Test models for fairness and bias, being mindful of potential biases in processes.
• Utilize MLOps infrastructure for building, deploying, and monitoring created models.
• Translate business problems into models that drive results.

Requirements:

• Undergraduate or master’s degree in CS/Engineering, Statistics, STEM, or a Mathematical field.
• Minimum 2-4 years of work experience in Data Science.
• Proficiency in Python, NLP, statistical knowledge, ML & Azure ML or any cloud machine learning.
• Skills in Machine Learning (e.g., scikit-learn, PyTorch, Keras), Data Analysis (pandas), Data Extraction, Python and R programming, and command line usage.

Preferred Skills:

• Power BI, MySQL, Responsible AI, Confluence, Good Scripting Knowledge, SpaCy.

What We Offer:

• Competitive salary, generous paid time off, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP).
• Collaborative, diverse team culture with professional development and growth opportunities.

About Us:

Gartner, Inc. (NYSE: IT) provides actionable, objective insight to enhance decision-making and performance for organizations worldwide. With over 19,500 associates globally, supporting 15,000 client enterprises in 100+ countries, Gartner fosters a diverse and inclusive workplace.

Why Gartner?

Gartner is recognized as a great place to work, offering a diverse and inclusive environment that values individuals of different backgrounds, experiences, and abilities.

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