Senior Data Scientist
Core
Own and continuously improve sales quota models and methodologies, translating sales strategy and financial targets into executable quota frameworks while developing statistical, forecasting, and machine-learning approaches.
Role type
Senior IC data scientist (sales analytics & quota modeling)
Builds
Scalable analytical models, quota methodologies, and AI/LLM workflows for sales compensation and planning
Domain
Sales operations, financial planning, and quantitative analytics
Deliverable
production ML models
Required skills
Statistical modeling, forecasting, optimization, machine learning, Python, SQL, data validation, cross-functional partnership, sales compensation mechanics, financial modeling, LLM/prompt engineering, RAG design
Preferred skills
Doctorate in Data Science/Math/Stats, experience with Azure ML/Databricks/Spark, agentic AI systems, enterprise-scale solution development
Technologies
Python, R, SQL, KQL, Spark, Azure Machine Learning, Azure Databricks, MLflow, vector databases
Responsibilities
Validate quota-setting inputs and outputs including baselines and model logic; identify data-quality issues and model risks; partner with Finance, Sales, and Analytics teams to align objectives; develop reproducible analytical workflows; design and optimize RAG and LLM workflows; build efficient, maintainable code; develop technical documentation for model governance.
Seniority
Senior, hands-on IC
