Data Scientist (Classical ML, NLP & LLMGenAIAgentic AI)
Job Summary
About the role:
We are looking for a Data Scientist to lead high impact Data Science initiatives that convert diverse data into actionable insights and decision support. You will be responsible for designing executing and implementing solutions that drive research excellence operational efficiency and revenue growth.
What youll do:
Partner with stakeholders to frame the problem. Work directly with technical leaders and domain experts to translate ambiguous questions into well-posed analytical problems align on success metrics communicate trade-offs clearly and recommend the most effective approachML/AI classical analytics or rule-based decisioningbased on impact constraints and maintainability
Develop methodologies across the full spectrum. Apply and extend methods across supervised learning unsupervised learning Generative / Agentic AI NLP etc
Apply LLMs and agentic systems pragmatically and drive adoption of evolving capabilities. Continuously evaluate new models tooling and patterns; run fast measurable prototypes; and scale the winners into production RAG/agent workflowsowning evaluation guardrails and hallucination control
Deliver production ready solutions. Derive approaches from first principles when off-the-shelf methods dont fit prototype hands-on and carry solutions from data cleaning and feature engineering through model development evaluation deploymentensuring quality in terms of its accuracy stability and scalability
Communicate insights in business terms. Convey complex technical concepts to diverse audiences and influence key stakeholders and leaders across the organization
What youll need:
3- 6 years in applied ML / applied AI with hands-on experience building and deploying models in production environments
Bachelors or Masters (or PhD) in Computer Science Statistics Mathematics Engineering Economics or a related quantitative field. Equivalent demonstrable expertise is welcome
Demonstrated experience working across multiple areas such as supervised ML unsupervised ML optimization recommendation systems forecasting and LLM/agentic systems/ RAG agentic workflows evaluation frameworks prompt engineering fine-tuning trade-offs and vector databases
Proven track record of owning solutions end-to-endfrom problem framing and method selection to productionization monitoring and iteration in real-world environments
Experience with graph algorithms is a plus (knowledge graphs graph traversal community detection graph rag etc
Experience in business applications such as churn analysis customer profiling and recommendation systems
NLP techniques: vector databases embeddings topic modeling and fine-tuning of transformer models like BERT to enhance text analytics capabilities
Expert-level Python. Comfortable with the scientific stack (NumPy pandas scikit-learn PyTorch) and with writing clean tested modular code
Distributed computing (Spark / Snowflake / BigQuery) for large-scale data and training
Cloud (AWS / Azure / GCP) model training deployment scaling cost-awareness
Working knowledge of Agentic AI Frameworks like LangChain LangGraph and Deep-Agents or equivalent
Deep learning fundamentals: understanding when to apply deep learning approaches and how to train and evaluate them effectively in practice
What we offer:
Problems worth solving. Real ambiguity real scale real impact not toy problems wrapped in a framework
A seat at the table. Direct partnership with leadership on what we build and why
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-PM3
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 weve grown to 20000 associates globally who support over 13000 client enterprises in 90 countries and territories. We do important interesting and substantive work that matters. Thats 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 youll 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. Youll 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.
Its 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 thats reshaping the way we operate. If youre passionate about AI and want to be part of a team thats 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 its 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.
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Required Experience:
Unclear Seniority
About Company
Gartner, Inc. (NYSE: IT) is the world’s leading research and advisory company and a member of the S&P 500. We equip business leaders with indispensable insights, advice and tools to achieve their mission-critical priorities today and build the successful organizations of tomorrow.