The Forecasting Data Science Team is pioneering the application of Causal AI to revolutionise Demand Forecasting and its Enterprise impact, aiming for breakthrough levels of forecast accuracy and efficiency
Job Summary
The Forecasting Data Science Team is pioneering the application of Causal AI to revolutionise Demand Forecasting and its Enterprise impact, aiming for breakthrough levels of forecast accuracy and efficiency.
You will play a significant role in shaping our Causal AI-based forecasting system to improve decision making and drive operational performance and efficiency across Cisco’s Enterprise and Supply Chain functions.
We work as a team, collaborating with empathy to make really big things happen on a global scale, and the opportunities to grow and build are limitless.
Matching Summary
The Forecasting Data Science Team is pioneering the application of Causal AI to revolutionise Demand Forecasting and its Enterprise impact, aiming for breakthrough levels of forecast accuracy and efficiency.
Skills & Requirements
Must-have
Causal AI
Structural Causal Models
Python
SQL
Git version control
time series forecasting
Nice-to-have
global financial markets
macro-economics
micro-economics
econometrics
financial datasets
team leadership
mentoring junior data scientists
Key Requirements
6+ years Advanced Analytics experience with Masters or 4+ years with PhD
Mathematics or Applied Mathematics, Operations Research, Economics, Econometrics, Physics, Computer Science, Engineering, or related quantitative field
AI and machine learning foundation
Causal machine learning approaches
sophisticated data analysis and data engineering skills