Senior Data Scientist
Core
Pioneering the application of Causal AI to revolutionize Demand Forecasting and provide regime-resilient forecast accuracy, efficiency, and prescriptive insights for Cisco's Enterprise and Supply Chain.
Role type
Senior IC causal AI data scientist (forecasting)
Builds
Causal-AI based forecasting system for Aggregated Demand
Domain
Supply Chain / Demand Planning / Causal AI
Deliverable
production ML models
Required skills
Causal machine learning, Python, SQL, data engineering, structured data wrangling, time series forecasting, uncertainty quantification, structural causal modelling
Preferred skills
Global financial markets analysis, macro/micro-economics, econometrics, mentoring junior data scientists, project management
Technologies
Python, SQL, Git
Responsibilities
Develop and evolve Causal-AI based forecasting system; Engineer model features from structured and unstructured datasets; Develop robust, long-shelf-life models; Solve research problems in structural causal modelling; Work with business leads to understand demand drivers; Develop approaches for uncertainty quantification; Research methods to reconcile forecasts across hierarchies and time horizons; Provide technical direction and mentoring to junior team members
Seniority
Senior, hands-on IC with mentoring responsibilities
