Job
Description
The Senior 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: Develop State of the art ML models that will help shape investment strategy for our business. Continuous monitoring and evaluation of model performance and metrics. Build and incorporate LLMs/RAG for simplifying user s experience. 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 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 experience in data science methodologies as applied to live initiatives or software development Minimum 4+ years of experience in python coding and statistical analysis Minimum 2 years working experience in several of the following: State of the art Machine Learning and Predictive modelling (Must have) User behaviour modelling (Must have). Data analytics with multi-dimensional data (Must have) Text mining and Natural Language Processing (Good to have) Generative models (Good to have) 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 Experience with cloud computing services such as AWS or Azure ML Experience and proficiency with Python, machine learning tools (eg, scikit-learn, spacy, nltk), statistical packages (eg, Scipy), SQL/relational databases (eg, Oracle) and NoSQL databases (eg, 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
