Senior Data and Applied Scientist
Core
Transform business needs into measurable objectives, develop GenAI and ML models, and drive product improvements through causal inference and behavioral modeling.
Role type
Senior Applied Scientist (GenAI/ML & Causal Inference)
Builds
Production ML models, GenAI solutions, and behavior-driven product insights
Domain
Enterprise data platforms, Learning platforms, Causal inference, User behavioral modeling
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Causal inference, User behavioral modeling, Experiment design, Statistical analysis, GenAI model development, Large-scale data platform engineering, Python, SQL, PySpark, Azure ML, Azure AI Foundry
Preferred skills
Reinforcement learning, Fine-tuning, AI-powered coding tools, Learning platform competency modeling
Technologies
Fabric, Synapse, ADX, Delta Lake, ADF, Databricks, Snowflake, Azure Machine Learning, Azure OpenAI
Responsibilities
Formulate business problems into discrete objectives with measurable outcomes, Develop new ML or GenAI models using advanced statistical techniques, Lead evaluation and root cause diagnosis of GenAI solutions, Design experiments and perform causal analyses to deliver behavior-driven insights, Write robust, reusable code for analysis and modeling, Leverage AI tools to accelerate coding and analysis tasks
Seniority
Senior, hands-on IC
