Description
Global Sales & Services Operations (GSSO) is the team that helps shape Gartner's mission-critical sales and services priorities and works with sales and 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 and services teams, which are delivering approximately $4.9B in annual revenue and working to drive sustained double-digit growth. You will partner with business leaders across Gartner to support global sales and services teams comprised of nearly 9,000 associates who sell to and service every major function, industry and market sector around the world.
About the role
The Sr. 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:
- Build and incorporate LLMs/RAG for simplifying user’s experience.
- Stay on top of fast-moving AI/ML models and technologies, particularly in LLMs, conversational AI, and agentic systems
- Continuous monitoring and evaluation of model performance and metrics.
- Take ownership of algorithms and drive enhancements/optimizations based on business requirements with proper documentation and code-reusability
- 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
- Mentor junior data scientists on chatbot development, LLM applications, and best practices
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 of hands-on experience building conversational AI systems, chatbots, LLM applications, or other advanced machine learning/artificial intelligence solutions to drive business impact
- Minimum 4+ years of experience in python coding and statistical analysis
- Working experience in some of the following data science areas:
- Large Language Models (LLMs) and Generative AI
- Conversational AI, chatbot development, and dialogue systems
- Natural Language Processing and text mining
- Search and Recommendation systems
- Prompt engineering, LLM fine-tuning, and model optimization
- AI agent architectures and orchestration
- 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
- Practical, intuitive problem solver with proven ability to translate business objectives into actionable data science tasks and implement state-of-the-art ML research into production systems
- 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
#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 20,000 associates globally who support over 13,000 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.
Gartner is the world authority on AI
At Gartner, you’ll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients’ AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.
It’s an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate. If you’re passionate about AI and want to be part of a team that’s guiding the leaders who shape the world, Gartner is the place for you.
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 [email protected] .
Job Requisition ID:110827By 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.
