Machine Learning Data Analyst, Amazon

  • Full Time
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Here at Amazon, we value our differences. We are dedicated to nurturing a culture of diversity and inclusion within our teams in the organization. So, how do we get items to customers swiftly, cost-effectively, and, most significantly, safely, in under an hour? And how do we make it scalable? To answer these questions, our team comprised of hundreds of scientists, engineers, aerospace professionals, and futurists have been working tirelessly. We are delivering to customers and are thrilled about the future. For more information about Prime Air, you can visit the About Amazon blog. If you are seeking an iterative environment where you can drive innovation and apply state-of-the-art technologies to meet real-world delivery challenges, thereby providing benefits to customers, then Prime Air is the right fit for you. Come and be part of the Amazon Prime Air Team! Prime Air is on the lookout for an experienced Machine Learning Data Analyst who enjoys working on data processing tasks and who can ensure the continuous operation of our systems. The chosen candidate will deliver high-quality work under assigned timelines independently. Our organization strives to manage tasks according to our customer's current needs, perform basic quality audits, identify root causes for failures and gaps, adapt quickly to changing specifications, and collaborate with Process Leads and stakeholders to improve processes. Some of your responsibilities as a Data Analyst will include, among others: - Working with digital image/video content - Labeling data accurately in a timely manner - Performing quality checks on collected data and its status in the pipeline - Generating requirements, innovation, and improvement of the current state - Collaborating with data scientists to analyze operational outputs, modify processes, and support the delivery of the finalized product Export Control License: This position may necessitate a deemed export control license in compliance with applicable laws and regulations. Your placement is dependent upon Amazon's ability to apply for and obtain an export control license on your behalf. In our daily operations, we insist on the highest standards. We focus on work accuracy, metrics, and quality improvement. Attention to detail and quick adaptation to customer's requirements are also part of the daily responsibilities. This is NOT a remote position. We are hiring candidates to work at the following locations: Seattle, WA, USA Basic Qualifications - Working experience with digital visual content and/or delivery machine learning activities. - Experience in process improvement, peer coaching, mentoring, and/or training. - Experience in reporting and auditing high standard quality requirements. Preferred Qualifications - 3+ years of experience at Amazon in customer service or back-office roles - Bachelor's degree in Computer Science, IT, Business Administration, Industrial Engineering, Visual/Graphic Design, or Audiovisual Production. - Experience in 3D modeling, and/or game development - Experience in software testing and collaboration with developers to communicate requirements. Amazon is committed to promoting a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, veteran status, disability, age, or any other legally protected status. For anyone with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the labor cost across several US geographic markets. The base pay for this position ranges from $40,400/year in our lowest geographic market up to $86,500/year in our highest geographic market. Pay is influenced by various factors including market location, and it can also change depending on job-related knowledge, skills, and experience. Amazon provides total compensation. Depending on the position offered, equity, sign-on bonuses, and other forms of compensation may be part of the overall compensation package in addition to a full range of medical, financial and/or other benefits. To learn more, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants are encouraged to apply via our internal or external career site.