Job
Description
Global Sales Strategy & Operations (GSSO) is the team that helps shape Gartner's mission-critical sales priorities and works with sales 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 6,000 associates who sell to every major function, industry and market sector around the world. About the role: The Senior Data Scientist role is part of the Territory Planning & Analytics (TP&A) team in GSSO. The TP&A team is focused on designing the optimal territory investment, design and alignment strategy to maximize Sales (and Services) productivity. This is an internal consulting team that partners with Gartner’s sales leaders to determine where, when, and how the company should direct its substantial investment in incremental sales professionals. The individual in this role will collaborate with sales leaders to guide strategic investment and go-to-market decisions at regional and global levels. What you will do: Develop State of the art ML models that will help shape investment strategy for our business. Continuous monitoring and evaluation of model performance and metrics. Build and incorporate LLMs/RAG for simplifying user’s experience. Be responsible for high quality data science solutions with respect to accuracy and coverage. Be accountable for solutions’ scalability, stability, and business adoption Responsible for maintaining proper documentation and further code-reusability principles Responsible for ownership of algorithms and its enhancements/optimizations as per business requirement What you will need: BS/MS/PhD in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on ML/AI, Information Retrieval a plus) 5+ years’ experience in data science methodologies as applied to live initiatives or software development Minimum 4+ years of experience in python coding and statistical analysis Minimum 2 years working experience in several of the following: State of the art Machine Learning and Predictive modelling (Must have) User behaviour modelling (Must have). Data analytics with multi-dimensional data (Must have) Text mining and Natural Language Processing (Good to have) Generative models (Good to have) Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle. Ability to implement latest ML research to improve our current algorithms Experience with cloud computing services such as AWS or Azure ML Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), statistical packages (e.g., Scipy), SQL/relational databases (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph database), distributed machine learning (spark), Linux and shell scripting Practical, intuitive problem solver with a demonstrated ability to translate business objectives into actionable data science tasks and translate quantitative analysis into actionable business strategies 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 #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 insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 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 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. 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:101302 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. Show more Show less
