Data Scientist II, Demand Science
Job summaryThe Amazon Devices-Demand Planning team is seeking an outstanding scientist with strong analytical and communication skills to help with demand forecasting and supply optimization for the entire Amazon device family of products and accessories.
We develop scalable and robust state-of-the-art solutions that involve learning from different data sources.
This role is central to the continued growth of Amazon Device division as we have grown from the first Kindle E-Reader to a vast portfolio of Echo, Fire TV, Fire Tablet, E-Reader, Ring and many other devices.
With better forecasts we drive down supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers.
In this role, you will have an opportunity to both develop advanced scientific solutions and drive critical customer and business impacts.
You will play a key role to drive end-to-end solutions from understanding our business requirements, exploring a large amount of historical data, building prototypes and exploring conceptually new solutions, to working with partner teams for prod deployment.
You will collaborate closely with engineering peers as well as business stakeholders.
You will be at the heart of a growing and exciting focus area for Amazon Devices.
Key job responsibilitiesYou are an individual with outstanding analytical abilities, excellent communication skills, and are comfortable working with cross-functional teams and systems.
You will be responsible for researching, prototyping, experimenting, and analyzing predictive models.
Key
Responsibilities:
Research and develop new methodologies for demand forecasting and price modeling.
Improve upon existing methodologies by adding new data sources and implementing model enhancements.
Drive scalable solutions.
Create and track accuracy and performance metrics (both technical and business metrics).
Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders.
Drive best practices on the team; mentor and guide junior members to achieve their career growth potential.
A day in the lifeThis role will be a Problem Solver, Doer, Detail Oriented, Communicator and Influencer.
Problem Solver:
Ability to utilize exceptional modeling and problem-solving skills to work through different challenges in ambiguous situations.
Doer:
You've successfully delivered end-to-end operations research projects, working through conflicting viewpoints, model intractability, and data limitations.
Detail Oriented:
You have an enviable level of attention to details.
Communicator:
Ability to communicate analytical results to senior leaders, and peers.
Influencer:
Innovative scientist with the ability to identify opportunities and develop novel approaches in a fast-paced and changing environment, and gain support with data.
About the teamOur science team develops scalable and robust machine learning models and forecasting solutions that involve distributed data sources and ML models.
The team is a young, focused science team looking for help with validating the technical decisions we are making and figuring out how to best solve our partner's needs.
This role is central to the continued growth of Amazon Devices division that includes Kindle E-Reader, Echo, Fire TV, Fire Tablet, E-Reader, Ring and many other devices.
With better forecasts we drive down supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers.
.
Estimated Salary: $20 to $28 per hour based on qualifications.
We develop scalable and robust state-of-the-art solutions that involve learning from different data sources.
This role is central to the continued growth of Amazon Device division as we have grown from the first Kindle E-Reader to a vast portfolio of Echo, Fire TV, Fire Tablet, E-Reader, Ring and many other devices.
With better forecasts we drive down supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers.
In this role, you will have an opportunity to both develop advanced scientific solutions and drive critical customer and business impacts.
You will play a key role to drive end-to-end solutions from understanding our business requirements, exploring a large amount of historical data, building prototypes and exploring conceptually new solutions, to working with partner teams for prod deployment.
You will collaborate closely with engineering peers as well as business stakeholders.
You will be at the heart of a growing and exciting focus area for Amazon Devices.
Key job responsibilitiesYou are an individual with outstanding analytical abilities, excellent communication skills, and are comfortable working with cross-functional teams and systems.
You will be responsible for researching, prototyping, experimenting, and analyzing predictive models.
Key
Responsibilities:
Research and develop new methodologies for demand forecasting and price modeling.
Improve upon existing methodologies by adding new data sources and implementing model enhancements.
Drive scalable solutions.
Create and track accuracy and performance metrics (both technical and business metrics).
Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders.
Drive best practices on the team; mentor and guide junior members to achieve their career growth potential.
A day in the lifeThis role will be a Problem Solver, Doer, Detail Oriented, Communicator and Influencer.
Problem Solver:
Ability to utilize exceptional modeling and problem-solving skills to work through different challenges in ambiguous situations.
Doer:
You've successfully delivered end-to-end operations research projects, working through conflicting viewpoints, model intractability, and data limitations.
Detail Oriented:
You have an enviable level of attention to details.
Communicator:
Ability to communicate analytical results to senior leaders, and peers.
Influencer:
Innovative scientist with the ability to identify opportunities and develop novel approaches in a fast-paced and changing environment, and gain support with data.
About the teamOur science team develops scalable and robust machine learning models and forecasting solutions that involve distributed data sources and ML models.
The team is a young, focused science team looking for help with validating the technical decisions we are making and figuring out how to best solve our partner's needs.
This role is central to the continued growth of Amazon Devices division that includes Kindle E-Reader, Echo, Fire TV, Fire Tablet, E-Reader, Ring and many other devices.
With better forecasts we drive down supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers.
.
Estimated Salary: $20 to $28 per hour based on qualifications.
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