July 30, 2020
What makes Gartner a GREAT fit for you? When you join Gartner, you’ll be part of a team with a no-limits mindset that helps the world become smarter and more connected. We’re the world’s leading research and advisory company that steers clients toward the right decisions with business and technology insights they can’t find anywhere else. Our associates enjoy a collaborative work environment with exceptional training and career development. If you like working with a curious, supportive, high-performing team, Gartner is the place for you.
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Associate Data Scientist
Opening statement: Gartner is a people business. Fueled by expert analysis, bold ideas and intellectual courage, we are a team of thinkers, doers, and lifelong learners. We are innately curious, driven, disciplined and collaborative.
Essential Must-have Skills
Benefits: We offer a highly competitive rewards and benefits package including Company benefits like medical insurance, life insurance, and accidental insurance starting day one, best in industry pay package, flexible work environment, and lucrative paid time off policy, etc. Gartner is a high growth company which will provide the right candidate with a wealth of career development opportunities. All Gartner associates strive on being high performers, problem solvers, team players with passion, integrity and effectiveness. We strive to attract exceptional people who really enjoy what they do. Are you ready to jump on board?
Equality statement: The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, caste, creed, religion, sex, sexual orientation, gender identity or expression, marital status, citizenship status, age, national origin, ancestry, disability, or any other characteristic protected by applicable law. Gartner affirmatively seeks to advance the principles of equal employment opportunity and values diversity and inclusion.
Offered Pay AmountPay Amount : Rs.
number of openings :1
Qualification :hands-on experience in building predictive models, recommendation systems or data insights tools. Prior experience in NLP is highly preferable.