Principal Data and Applied Scientist
Core
Transform business needs into measurable problems, develop GenAI/ML models, and drive product improvements through causal inference and behavioral modeling.
Role type
Principal Data and Applied Scientist
Builds
Production ML models and GenAI solutions for product and journey analytics
Domain
Enterprise data platforms, causal inference, user behavioral modeling, and GenAI
Deliverable
production ML models
Required skills
Causal inference, user behavioral modeling, GenAI model development, statistical analysis, experiment design, metric definition, Python, PySpark, SQL, Azure Machine Learning, Azure AI Foundry, Azure OpenAI, large-scale data platforms (Fabric, Synapse, Databricks, Snowflake)
Preferred skills
Reinforcement learning, fine-tuning, AI-powered coding tools, learner competency modeling
Responsibilities
Formulate business needs into discrete problems with measurable objectives, develop new ML/GenAI models using advanced techniques, lead evaluation and diagnosis of GenAI solutions, design experiments and perform causal analyses, deliver behavior-driven insights to drive product improvements, write robust and extensible code for analysis and modeling
Seniority
Principal, strategy & mentorship
