Staff/Senior/Tech Lead Applied Scientist - Causal AI for Demand Forecasting

Cisco Air Systems

Cisco Air Systems' Forecasting Data Science Team addresses challenges revealed by traditional forecasting methods, aiming to redefine Demand Forecasting through Causal AI. This innovative team, recognized by Gartner, works to enhance forecast accuracy and insights, supporting Cisco's supply chain and enterprise operations.

In this role you can expect to have the responsibilities:

• Develop and maintain elements of the Causal-AI forecasting system for demand.
• Enhance demand forecasting models by considering financial, economic, and competitive factors.
• Engineer and incorporate model features from diverse datasets into structural causal models.
• Create robust and long-lasting high-quality models.
• Address complex research problems to advance structural causal modeling for business applications.
• Collaborate with various Cisco functions to comprehend demand patterns.
• Develop methods for uncertainty quantification and forecast reconciliation.
• Leverage machine learning, incorporating recent research, to improve Causal AI solutions.
• Guide junior data scientists and engineers, aiding their professional growth.

This role comes with the following benefits:

• Access to medical, dental, and vision insurance.
• 401(k) plan with Cisco match.
• Disability and life insurance coverage.
• Paid holidays and flexible vacation policy.
• Sick time off with potential carryover.
• Incentive compensation for performance.
• Paid volunteer time.

This role requires you to have:

• Advanced Analytics experience with relevant degrees.
• Strong AI and machine learning background, especially in Causal ML.
• Python expertise with skills in data analysis, engineering, and SQL.
• Proficiency in data wrangling, mining, and problem-solving using ML.
• Excellent communication for explaining complex AI/ML concepts.

You would benefit from having:

• Experience with financial markets and econometrics.
• Expertise in Causal AI and Structured Causal Models for time series.
• Time series forecasting experience in complex domains.
• Problem-solving using AI/ML and translating business to analytics needs.
• Leadership and project management experience.

Cisco values diversity and inclusion, ensuring a workplace that fosters connection and potential. They encourage learning and development opportunities at all career stages. Employees can engage in community service and volunteer work extensively.