Senior Data Scientist

About the job

About the role: As a Senior Data Scientist within the Conferences Business Analytics team, you'll deliver ad hoc modeling and advanced analytical insights to drive strategic and operational decision-making across the organization. Your work will directly increase operational efficiency and deliver significant value by transforming data into actionable business insights. What you will do: • Lead ... all phases of the data science project lifecycle, including understanding complex business challenges, proposing and architecting technical solutions, data wrangling, data cleaning, exploratory data analysis, feature engineering, model selection and development, rigorous model validation, operationalization, and deployment of models, as well as clear presentation and documentation of results and actionable insights. • Collaborate cross-functionally with business stakeholders, IT, and Project Management teams to design, develop, and deliver cutting-edge analytics solutions that have a measurable business impact. • Leverage the latest technologies and methodologies, including Machine Learning, Artificial Intelligence, Natural Language Processing (NLP), and advanced Statistical Modeling, to solve challenging business problems. • Propose and develop new analytics solutions ("bottom-up innovations") that drive business value. • Continuously research and apply state-of-the-art techniques and technologies (e.g., Machine Learning, AI, NL) to improve model performance and drive innovation. What you will need: • A Bachelor’s degree in a technical field (e.g., Computer Science, Statistics, Mathematics, Data Science) • 6+ years of hands-on experience in some of the following data science areas: • Machine Learning, Predictive Modeling, Artificial Intelligence – experience in applying to real life use cases • Building search or recommendation systems • Text mining and Natural Language Processing • Data analytics with multi-dimensional data • Generative models • Deep understanding of statistical methods and principles. • Proficiency in Python, SQL, and Spark, working knowledge of Power BI, Excel, and PowerPoint. • Experience with a variety of modeling techniques, including: Time Series, Random Forests, Clustering, Neural Networks, and Generalized Linear Models. • Demonstrated ability to translate quantitative analysis into actionable business strategies and influence key stakeholders. • A knack for working in a fast-paced environment and meeting project milestones. • Ability to work collaboratively across product, data science and technical stakeholders. 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... What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities... What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.

Requirements

• Machine Learning
• Artificial Intelligence
• Natural Language Processing
• Data Science
• Statistical Modeling
• Python
• SQL
• Spark

Qualifications

• Bachelor’s degree in a technical field

Preferred Technologies

• Machine Learning
• Artificial Intelligence
• Natural Language Processing
• Data Science
• Statistical Modeling
• Python
• SQL
• Spark

Benefits

• world-class benefits
• highly competitive compensation

About the company

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.