Data Scientist at Gartner

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

29 Jun, 26

Salary

0.0

Posted On

31 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Large Language Model (LLM), Generative AI, Natural Language Processing (NLP), Information Retrieval, Machine Learning (ML), Statistical Techniques, Data Mining, Recommendation Systems, Python Coding, Feature Engineering, Prompt Engineering, Data Science Methodologies, Behavior Modeling, Actionable Insights, Unstructured Data Analysis

Industry

Information Services

Description

Global Sales & Services Operations (GSSO) is the team that helps shape Gartner's mission-critical sales priorities and works with sales & services leaders to drive tactical and analytical insights. As an associate on the GSSO team, you'll be at the forefront of the ongoing transformation of Gartner's sales force, which delivers approximately $4.9B in annual revenue and working to drive sustained double-digit growth. You will partner with business leaders across Gartner to support a global sales force comprised of more than 5,000 associates who sell to every major function, industry and market sector around the world. About this role: This role will be a part of the Global Sales and Services Technology team in GSSO. This team innovates the way our team helps clients receive value, so technology leaders will be able to make smarter decisions in a different way. We are looking for a talented Data Scientist to join the team. The individual will have access to the best facilities, technology and expertise within the industry and will work on challenging business problems. This is an excellent opportunity to be part of a new venture, in a start-up environment where you can truly develop your skill set and knowledge and bring impact to the team. What you will do: Designing and implementing state-of-the-art Large Language Model (LLM) based agents that seamlessly synthesize complex information and initiate important actions in a business workflow. Using advanced Generative AI techniques and/ or NLP for deriving actionable insights from unstructured text data, such as call transcripts and emails. Predicting client interest basis their digital footprint and making relevant recommendations to drive higher client value delivery, using NLP techniques with ML. Leverage statistical and machine learning techniques to extract actionable insights from client retention data. Build tools to process structured and unstructured data Engineering features and signals to train ML model from diverse data collection What you will need: BS/MS/PhD in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus) 3+ years of experience in data science methodologies as applied to live initiatives or software development Minimum 3+ years of experience in python coding and statistical analysis Minimum 2 years of working experience in the following: Natural Language Processing and Information Retrieval Prompt Engineering and working with LLMs Statistical techniques Data mining and recommendation systems Experience working with large volumes of data User behavior modeling Collaborative, inclusive and respectful of diverse perspectives Proven ability to manage tasks end-to-end and meet deadlines Detail-oriented with strong organizational skills and innovative mindset. What you will get: Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more! Collaborative, team-oriented culture that embraces diversity Professional development and unlimited growth opportunities #LI-MP4 #GSSO 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. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:109093 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. At Gartner, we guide the leaders who shape the world. About 14,000 client enterprises worldwide rely on Gartner for actionable, objective business and technology insights. Our teams of thinkers and doers know that staying curious is the best way to shape the future, for ourselves and our clients. Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. 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.

Responsibilities

The role involves designing and implementing state-of-the-art Large Language Model (LLM) based agents to synthesize complex information and initiate business workflow actions. Responsibilities also include using advanced Generative AI and NLP techniques to derive actionable insights from unstructured text data like call transcripts and emails.