Staff Data Scientist

2 weeks ago

London, United Kingdom Cisco NL Full time

Cisco wasn’t immune and saw a 4X increase in backlog, revenue impact, and a subsequent 3X inventory increase. The Forecasting Data Science team within Global Planning is solving this by pioneering the application of Causal AI to re-invent Demand Forecasting of Cisco’s product portfolio to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable game-changing opportunities across Cisco and its Supply Chain. The team was recognized by Gartner in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the world in the Process and Technology Innovation category.
A high caliber and engaged team plus an eco-system of world-leading AI partners chartered with developing and operationalizing an inspectable, multi-dimensional system of causal models that provides an integrated, comprehensive, and evidence-based point-of-view of Cisco’s short and long-term demand at aggregated and product levels.
This team is responsible for incorporating planning, product, sales, and customer intelligence from across the enterprise and from external global macro-economic and market data that relates to the demand for Cisco’s products into the structure of this system of models. The team delivers and continuously improves AI-based forecasts, forecast ranges, and financial and prescriptive insights from this system through connections with Planning and other Supply Chain and Enterprise teams for the different facets of Cisco’s business.
Provide integrated, reconciled, logically sound evidence-based views for different facets of Cisco's short and long-term demand.
Leverage and incorporate appropriate machine learning approaches including customization of recently published research as needed to build better Causal AI solutions.
Connect with stakeholders to communicate the short-and-long term AI forecasts and the changes in these forecasts. Provide technical direction and leadership to the core team of Data Scientists, Data Engineers, and AI partners to help develop a world-leading effort.
Extensive Advanced Analytics experience or demonstrable experience with a PhD in Statistics, Mathematics or Applied Mathematics, Physics, Engineering, or related quantitative field.
Strong all-round foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches.
Mastery in Python, with advanced data analysis and data engineering skills, including using SQL at scale
Sharp eye for patterns and numbers and able to draw out the story and conclusions from data and modeling experiments in real-time.
Deep coding experience in developing and operationalizing scalable ML solutions in cloud environments.
Expert-level practical understanding of global financial markets, macro-economics, and micro-economics. Project management skills, with an ability to deliver results in a fast-paced environment.
A customer-centric approach to problem-solving and a knack for envisioning, translating business requirements into analytics requirements, and realizing feasible data science solutions.

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