Gartner India Research & Advisory Services - Director - Data Science (8-11 yrs)

About the role:

This is an opportunity to join our fast-growing Global Product Management Data Science team. You will be working with the team managing 'The Client Experience Digital Platform' which is the go-to place for all clients to interact with Gartner to get value. Our clients are IT and business leaders around the world. They expect to get help from Gartner on their most critical priorities. The Digital Platform is embedded in their workflows to help them on every step of their journey. Our mission is to deliver tremendous client value by building scalable, intelligent digital products and solutions. We are constantly looking for product management, UX and data science leaders to help us accelerate innovation to disrupt the marketplace and disrupt ourselves.

What you will do:

The Data Science leader responsibilities may include, but are not limited to:

- Work on Data science projects in close collaboration with the Data Engineering team, Application development team, Product owners and business leaders to deliver high value business capabilities

- Solve 'Search' value stream problems and help improve Gartner's client experience in finding the most meaningful and valuable insights

- Build user query understanding and intent refinement models to refine query to content similarity

- Build and incorporate LLMs in addition to vector search capabilities

- Drive AI/MLOps best practices and ensure development with LEAN principle

- Be responsible for high quality data science solutions with respect to accuracy and coverage. Maintain proper documentation and further code-reusability principles

- Be accountable for solutions' scalability, stability, and business adoption

- Leverage state of the art algorithms to drive adoption and boost client engagement with Gartner assets

- Leverage internal and external data to understand client's company level priorities, competitive landscape and deliver targeted support.

- Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions.

- Use a combination of quantitative (science) and qualitative (art) methodologies to prioritize ideas.

- Collaborate with engineering and product teams to launch MVPs and iterate quickly.

- Independently plan and drive data science projects that deliver clear business value.

- Mentor and manage data scientists and engineers to build scalable and innovative products that drive the business forward

What you will need:

- 8+ years of experience in data science domain with at least 2 years of experience managing associates from data science and engineering domains

- Bachelor's Degree in a quantitative field (math, computer science, engineering, etc.). Master/PhD in similar field a strong plus

- Experience in driving business priorities by translation strategies into technical roadmap and ensuring progress in a cross-team environment

- Demonstrated ability to translate quantitative analysis into actionable business strategies

- Hands-on experience building client facing applications leveraging that are powered by machine learning/artificial intelligence algorithms

- Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle. Has leveraged MLOps to build and optimize the products - experience in having algorithms developed in version-controlled environment

- Ability to implement latest ML research to improve our current algorithms and mentor data scientists on a wide variety of projects

- Working experience in some of the following data science areas:

o Search and/or Recommendation systems

o Machine Learning and Predictive modeling

o Large language models and Natural language processing

- Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning (e.g., pytorch, tensorflow), 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

- Experience with cloud computing services such as AWS or Azure ML

- 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

- Ability to work in a culture that thrives on feedback and seeks opportunities to stretch outside comfort zone

- Bias for action and client outcome oriented

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