Sr Data Scientist at Gartner

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

10 Jul, 26

Salary

0.0

Posted On

11 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Predictive Modeling, Artificial Intelligence, Natural Language Processing, Statistical Modeling, Python, SQL, Spark, Power BI, Data Wrangling, Feature Engineering, Time Series, Random Forests, Clustering, Neural Networks, Generalized Linear Models

Industry

Information Services

Description

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. 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:105590 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

Lead the end-to-end data science project lifecycle, from business problem definition to model deployment and documentation. Collaborate with cross-functional teams to develop advanced analytical solutions that drive measurable business impact.