Job Description
Are you excited about driving high-visibility, strategic analytics solutions to streamline Amazon"s capacity planning? NACP - Analytics & Science is seeking an experienced Data Scientist to lead data science and forecasting initiatives in partnership with Data Engineers, BIEs, Supply Chain leaders, and Engineers. Our mission is to simplify analytics with innovative data science/AI products.
This role is for a motivated individual with a strong statistical and technical background to join us as a Data Scientist. You will be responsible for leading best-in-class data science initiatives, including forecasting and utilizing generative AI tools to address supply chain planning bottlenecks and improve Placement and Cost to Serve metrics for Amazon warehouses. You will bring your data science and statistics background to support key capacity planning initiatives. You will continue to raise the bar for creating scalable, efficient, and accurate models utilizing large-scale data sets.
Key job responsibilities
- Develop new forecasting models or improve existing approaches using scalable techniques.
- Extract data for analysis and model development from large, complex datasets to explain demand trends.
- Closely work with engineering teams to build scalable, efficient systems that implement prototypes in production.
- Distill problem definitions from informal business requirements and communicate technical solutions to senior business leaders.
- Drive innovation and best practices in applied research across the Amazon research science community.
Numbers & Facts
| Location | Bellevue, WA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Skills
- Alliance/Partner Managementunmatched
- Artificial Intelligence (AI)unmatched
- Best Practicesunmatched
- Capacity Managementunmatched
- Data Analysisunmatched
- Data Modelingunmatched
- Data Scienceunmatched
- Data Setsunmatched
- Forecastingunmatched
- Metricsunmatched
- Prototypingunmatched
- Scalable System Developmentunmatched
- Scientific Researchunmatched
- Statisticsunmatched
- Strategic Analysisunmatched
- Supply Chainunmatched
- Supply Chain Managementunmatched
- Team Playerunmatched
- Training Data Setsunmatched
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