Senior Data Scientist (6+ yrs in Data Science & Python programming) at Gartner

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

20 Apr, 26

Salary

0.0

Posted On

20 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Python, Machine Learning, AI, SQL, MLOps, Predictive Modeling, Optimization, Data Pipelines, Cloud Platforms, Large Language Models, Generative AI, Agile, Communication, Collaboration, Software Development

Industry

Market Research

Description

About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About the role: We're seeking an experienced Sr Data Scientist to join our growing Enterprise Data Science & AI team. In this role, you will serve as a technical expert in developing and implementing advanced machine learning/AI models and analytical solutions to improve Gartner's data quality and drive business value. You'll collaborate with cross-functional teams to identify data science and AI opportunities, solve complex business problems, and drive data-driven decision making across the organization. What you’ll do: Design, develop and deploy AI solutions to elevate the quality and depth of Gartner's data assets, ensuring high accuracy, reliability and completeness Lead the development of various predictive and optimization use cases. Follow best practices for data science methodologies, including coding standards, model validation and model monitoring Partner with business users to understand business requirements and translate data science solutions into business action items Collaborate with IT teams to identify and design data pipelines and infrastructure that supports data science model use cases Define success metrics and KPIs for data science projects and initiatives What you’ll need: 6-8 years of experience in data science, with a proven track record of successfully delivering data science and AI projects in business environments Excellent communication skills with the ability to translate complex technical concepts for non-technical audiences Strong programming skills in Python and experience with data science libraries (sklearn, pandas, NumPy, PyTorch/TensorFlow) Knowledge of software development practices (version control, CI/CD, code review) Experience with MLOps tools and best practices for model deployment and monitoring Proficiency in SQL Strong experience with large language models (LLMs) and generative AI applications, using frameworks like Lang Chain and Hugging Face, and deploying them on cloud platforms such as AWS, Azure, or GCP. Who you are: Bachelor's degree or higher in Data Science, Computer Science, Statistics, Information Management, or related quantitative field Excellent communication and prioritization skills. Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment. Strong desire to improve upon their skills in software development, frameworks, and technologies. Don’t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles. #LI-NS4 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:106992 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

Design, develop, and deploy AI solutions to enhance the quality of Gartner's data assets. Collaborate with cross-functional teams to identify data science opportunities and drive data-driven decision-making.