Data Scientist

As an associate on the Global Sales & Services Operations (GSSO) team at Gartner, you will play a crucial role in shaping Gartner's mission-critical sales priorities and driving tactical and analytical insights with sales & services leaders. The GSSO team is at the forefront of transforming Gartner's sales force, responsible for delivering approximately $4.9B in annual revenue and working towards sustained double-digit growth. Your partnership with business leaders across Gartner will support a global sales force of over 5,000 associates selling to various functions, industries, and market sectors worldwide. **Role Overview:** You will be a part of the Global Sales and Services Technology team in GSSO, focusing on innovating the way clients receive value through technology advancements. **Key Responsibilities:** - Design and implement state-of-the-art Large Language Model (LLM) based agents for synthesizing complex information in business workflows. - Utilize advanced Generative AI techniques and NLP to derive actionable insights from unstructured text data. - Predict client interest based on digital footprints and provide recommendations using NLP techniques with ML. - Extract actionable insights from client retention data using statistical and machine learning techniques. - Develop tools for processing structured and unstructured data. - Engineer features and signals to train ML models from diverse data collections. **Qualifications Required:** - BS/MS/PhD in Computer Science, Math, Physics, Statistics, or Economics (focus on Natural Language Processing, Information Retrieval a plus) - 3+ years of experience in data science methodologies and software development - Minimum 3 years of experience in Python coding and statistical analysis - Minimum 2 years of experience in Natural Language Processing, Information Retrieval, Prompt Engineering, statistical techniques, data mining, recommendation systems, and user behavior modeling - Ability to manage tasks end-to-end, meet deadlines, detail-oriented, and possess strong organizational skills - Collaborative, inclusive, respectful of diverse perspectives, and innovative mindset About Gartner: Gartner, Inc. is a global organization guiding leaders who shape the world with expert analysis and bold ideas. With a workforce of 21,000 associates supporting client enterprises in 90 countries, Gartner offers limitless growth opportunities in a collaborative, team-oriented culture that embraces diversity. Recognized as a great place to work, Gartner invests in great leaders and offers competitive benefits and rewards for top performers. If you are a talented Data Scientist looking to join a dynamic team and work on challenging business problems with cutting-edge technology, this opportunity at Gartner could be the perfect fit for you. As an associate on the Global Sales & Services Operations (GSSO) team at Gartner, you will play a crucial role in shaping Gartner's mission-critical sales priorities and driving tactical and analytical insights with sales & services leaders. The GSSO team is at the forefront of transforming Gartner's sales force, responsible for delivering approximately $4.9B in annual revenue and working towards sustained double-digit growth. Your partnership with business leaders across Gartner will support a global sales force of over 5,000 associates selling to various functions, industries, and market sectors worldwide. **Role Overview:** You will be a part of the Global Sales and Services Technology team in GSSO, focusing on innovating the way clients receive value through technology advancements. **Key Responsibilities:** - Design and implement state-of-the-art Large Language Model (LLM) based agents for synthesizing complex information in business workflows. - Utilize advanced Generative AI techniques and NLP to derive actionable insights from unstructured text data. - Predict client interest based on digital footprints and provide recommendations using NLP techniques with ML. - Extract actionable insights from client retention data using statistical and machine learning techniques. - Develop tools for processing structured and unstructured data. - Engineer features and signals to train ML models from diverse data collections. **Qualifications Required:** - BS/MS/PhD in Computer Science, Math, Physics, Statistics, or Economics (focus on Natural Language Processing, Information Retrieval a plus) - 3+ years of experience in data science methodologies and software development - Minimum 3 years of experience in Python coding and statistical analysis - Minimum 2 years of experience in Natural Language Processing, Information Retrieval, Prompt Engineering, statistical techniques, data mining, recommendation systems, and user behavior modeling - Ability to manage tasks end-to-end, meet deadlines, detail-oriented, and possess strong organizational skills - Collaborative, inclusive, respectful of diverse perspectives, and innovative mindset About Ga