Senior Data Scientist (Time Series + ML) | 6+ Years
Core
Building a Causal AI-based forecasting system to improve demand forecasting accuracy, efficiency, and prescriptive insights for Cisco's Enterprise and Supply Chain functions.
Role type
Senior IC data scientist (causal AI & time series)
Builds
Causal AI forecasting models for aggregated demand
Domain
Supply chain management + causal machine learning
Deliverable
production ML models
Required skills
Causal machine learning, time series forecasting, Python, SQL, data engineering, uncertainty quantification, structural causal modeling, macro/micro-economics analysis
Preferred skills
Global financial markets experience, marketing/pricing forecasting, team leadership, project management
Technologies
Python, SQL, Git
Responsibilities
Develop and evolve Causal-AI based Forecasting system; Analyze causal factors in global financial markets and economics; Engineer model features from structured/unstructured datasets; Develop robust, long-shelf-life models; Solve research problems pushing boundaries of structural causal modeling; Work with business leads to understand demand drivers; Develop approaches for uncertainty quantification; Research methods to reconcile forecasts across hierarchies and horizons; Provide technical direction and mentoring to junior staff
Seniority
Senior, hands-on IC with mentoring responsibilities
