Data Scientist

• 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 Senior Data Scientists 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

• 3-6 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

• 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