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Senior Data Scientist (NLP, ML, DL, LLM, Embedding Models)

Senior Data Scientist (NLP, ML, DL, LLM, Embedding Models)

Gartner

6 - 9 years

25 - 35 Lacs

Gurugram

Posted:1 day ago| Platform:

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Skills Required

Natural Language Processing Predictive Modeling Gen AI Artificial Intelligence Text Mining Embedded Systems Machine Learning Deep Learning Python

Work Mode

Hybrid

Job Type

Full Time

Job Description

About the role:

This is a unique 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:

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
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
Collaborate with Director, Data Science in long term vision, strategy, and solution roadmap to align with bigger business objectives and mission critical priorities of the organization
Responsible to pitch ideas, present solutions and influence senior leaders with strong business value propositions
Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions
Collaborate with engineering and product teams to launch MVPs and iterate quickly
Independently plan and drive data science projects that deliver clear business value.

What you will need:

6-8 years hands-on experience building predictive models, search systems, or other machine learning/artificial intelligence applications to drive business impact
Bachelor’s degree required while a master’s degree in a quantitative field (math, computer science, engineering, etc.) is strongly preferred
Demonstrated ability to translate quantitative analysis into actionable business strategies.
Strong communication skills in technical and business domains
Working experience in some of the following data science areas:

Machine Learning and Predictive modeling
Text mining and Natural Language Processing
Search or Recommendation systems
Data analytics with multi-dimensional data
Generative models

Strong working knowledge of Lean product principles, software development lifecycle, and machine learning life cycle
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 implement latest ML research to improve our current algorithms
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
Ability to work collaboratively across product, data science and technical stakeholders
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

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Senior Data Scientist (NLP, ML, DL, LLM, Embedding Models)