Data Scientist 2
Core
Apply data analysis, AI, and modelling techniques to understand user behaviour, identify opportunities, and inform product improvements for global services.
Role type
Senior IC data scientist (LLMs & experimentation)
Builds
Scalable, elegant, and impactful solutions for user experience and service quality
Domain
Technology / AI & Machine Learning
Deliverable
production ML models
Required skills
Python, R, scikit-learn, TensorFlow, Pytorch, ML.NET, Spark, Hadoop, Hive, Azure ML, prompt engineering, LLM fine-tuning, experimentation frameworks, statistical techniques, data quality validation, software engineering best practices
Preferred skills
Doctorate in Data Science/Math/Stats/Econ/CS, Master's in Data Science/Math/Stats/Econ/CS, Bachelor's in Data Science/Math/Stats/Econ/CS, 1+ years data-science experience, 2+ years customer-facing consulting experience, distributed big-data computing systems knowledge
Technologies
Python, R, scikit-learn, TensorFlow, PyTorch, ML.NET, Spark, Hadoop, Hive, Azure ML
Responsibilities
Acquire, prepare, and validate datasets for analysis and modelling; Design, evaluate, and optimize prompts and fine-tuning strategies for large language models; Develop and maintain metrics and evaluation frameworks to assess service quality; Collaborate in a cross-functional environment to deliver scalable solutions; Present clear, actionable insights to senior leaders and stakeholders; Write robust, reusable, and extensible code to support analysis and operationalization at scale
Seniority
Senior, hands-on IC
