Senior 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.
Excel in developing high quality, accurate, parsimonious models that are robust and have a long shelf-life.
Monitor the forecasts and key forecast performance metrics, understanding root causes of changes in the forecast and metrics as a core part of continuously improvement and customer communication.
Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, Product Management, Sales, and other Cisco organizations to understand, discover, and characterize relationships and patterns between Cisco demand and its relation to product, technology, lifecycle, supply, customer, market, competitor, sales behavior, and macro factors.
Provide integrated, reconciled, and 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 coaching to less experienced data scientists and data engineers in the team, and to interns and for collaborations with Universities.
D. in a Quantitative field leveraging statistical and machine learning methods in the thesis.
Strong all-round foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches.
Expertise in Python, with advanced data analysis and data engineering skills, including using SQL
Strong Computer Science foundation
Strong critical thinking, with a sharp eye for patterns and the skills to draw out the story and conclusions from data and modeling experiments in real-time.
Demonstrated structured data wrangling and mining skills that extract actionable insights from data, including in real-time hackathon-like settings.
Practical knowledge of the advantages and pitfalls of different machine learning approaches, as well as a strong grounding in the theoretical foundations
Advanced Analytics experience with a Masters degree or experience with a PhD in Statistics, Mathematics or Applied Mathematics, Physics, Engineering, or related quantitative field.
Experience with global financial markets, macro-economics, micro-economics, econometrics, and Corporate Finance.
Experience in visualization design and development with Python based libraries.
Project management skills, with an ability to deliver results in a fast-paced environment.
A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realizing feasible data science solutions.
We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. Our technology makes sure the data traveling at light speed across connections does so securely, yet it’s not what we make but what we make happen which marks us out. We’re helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We’re helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world – whether through 5G, or otherwise.
Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we’re committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions.
So, you have colorful hair? Tattoos?

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