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Data Scientist, Fulfillment Technologies - Inbound

Job in Seattle, King County, Washington, 98127, USA
Listing for: Amazon
Full Time, Seasonal/Temporary position
Listed on 2026-01-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
Job Description & How to Apply Below
Position: Data Scientist, Amazon Fulfillment Technologies - Inbound

Job  |  Services LLC

Amazon Fulfillment Technologies (AFT) is seeking an experienced Business Intelligence Engineer who is passionate about leveraging data to deliver actionable insight to improve senior level business decision making.

Amazon Fulfillment Technologies (AFT) powers the physical engine at the heart of Amazon. AFT builds and operates software, hardware, and processes that run the global network of fulfillment centers that move many billions of units of inventory, employ tens of thousands of people, and ensure that customers get what they want when we promised we would get it to them. We do this by building automated solutions to handle things that technology does well, while relying on people to handle things that humans do well.

Our team collaborates with machine learning scientists, product managers, engineers, Suppliers, fulfillment associates, and with a variety of customers across Amazon worldwide.

Key job responsibilities
  • Analyze complex, disparate datasets from diverse sources using statistical methods, segmentation models, NLP, and computer vision to optimize AFT's receive process and directly improve inbound system performance.
  • Design, develop, and maintain automated, user-friendly analytics platforms that enable stakeholders to manage the business, make data-driven decisions, and access timely, structured data at scale.
  • Collaborate with data engineers and software development teams to implement robust data structures, ensure data quality, and leverage Amazon's data resources effectively to support large-scale analysis and machine learning model deployment.
  • Partner with product managers, business stakeholders, data engineers, and business intelligence engineers to translate complex business problems into analytical solutions that enhance seller/vendor experience and inform product roadmaps.
  • Present insights, recommendations, and results to senior leadership through written reports and verbal presentations, earning trust through clear articulation of data-driven findings and their business impact.
  • Multi-task effectively across gap analysis, metric development, deep dives, data quality investigations, and stakeholder presentations in a fast-paced environment on high-visibility initiatives.
  • Develop training materials and documentation that empower stakeholders to independently leverage self-serve reporting tools and analytics platforms for decision-making.
A day in the life

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • 401(k) Plan
  • If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

    About the team

    Amazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.

    Inbound

    AFT’s Inbound team delivers innovative solutions to automatically receive and process billions of units of inventory from Amazon’s vendors and third-party sellers worldwide, making the merchandise quickly available to Amazon customers.

    Basic Qualifications
    • 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
    • 2+ years of data scientist experience
    • 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
    • Bachelor's degree
    • Experience applying theoretical…
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