Amazon.com Services LLC

Logistics

ResearchScientist

$136–184k Bellevue, Washington, United States; New York, New York, United States; Austin, Texas, United States; Arlington, Virginia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Research Scientist at Amazon.com Services LLC. Skills: Data Science, Machine Learning, Business Intelligence, Data Engineering. Develop and implement machine learning models. Design and build data pipelines”

Industry & Context.

Logistics
Problems you'll solve

Root cause analysis; Troubleshooting; Analytical thinking

What They're Looking For.

Must Have

Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field, 5+ years of experience in data science or related field, Proficiency in SQL, Experience with Python or R for data analysis and modeling

Nice to Have

Master's degree or PhD in a quantitative field, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), Experience with BI tools (Tableau, Power BI, Looker), Experience with data warehousing solutions (Snowflake, BigQuery, Redshift), Experience with distributed computing frameworks (Spark)

What You'll Do.

Develop and implement machine learning models

Design and build data pipelines

Perform data analysis and generate insights

Create and maintain business intelligence dashboards

Collaborate with engineering teams to deploy models

Optimize data storage and retrieval

Conduct A/B testing and analyze results

Stay updated on latest ML/AI advancements

How You'll Work.

Team & Collaboration

Cross-functional teams; Product managers; Software engineers; Business stakeholders

Communication Scope

Present findings; Explain complex models

Full Job Description

Amazon’s Last Mile Team is looking for a passionate individual with strong optimization and analytical skills to join its Last Mile Science team in the endeavor of designing and improving the most complex planning of delivery network in the world. Last Mile builds global solutions that enable Amazon to attract an elastic supply of drivers, companies, and assets needed to deliver Amazon's and other shippers' volumes at the lowest cost and with the best customer delivery experience. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization. Our research has direct impact on customer experience, driver and station associate experience, Delivery Service Partner (DSP)’s success and the sustainable growth of Amazon. Optimizing the last mile delivery requires deep understanding of transportation, supply chain management, pricing strategies and forecasting. Only through innovative and strategic thinking, we will make the right capital investments in technology, assets and infrastructures that allows for long-term success. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. Key job responsibilities Candidates will be responsible for developing solutions to better manage and optimize delivery capacity in the last mile network. The successful candidate should have solid research experience in one or more technical areas of Operations Research or Machine Learning. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on optimizing the system policies across the management of external delivery service providers and internal planning strategies. They

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