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Amazon
Arlington
Description We are seeking an exceptional Sr. Applied Scientist to join a team of experts in the field of machine learning, and work together to tackle challenging problems across diverse compliance domains. We leverage and train state-of-the-art multi-modal and large-language-models (LLMs) to detect illegal and unsafe products across the Amazon ca
Job Source: AmazonZs Associates
Washington, DC, United States
ZS is a place where passion changes lives. As a management consulting and technology firm focused on transforming global healthcare and beyond, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping solutions from start to finish. At ZS, we believe that making an impact deman
Job Source: Zs AssociatesAmazon
Arlington
Description About Amazon Regulatory Intelligence, Safety, and Compliance (RISC). Amazon RISC’s vision is to make Amazon Earth’s most trusted shopping destination for safe and compliant products. Towards this mission, we take a science-first approach to building technology, products and services, that protect customers from unsafe, illegal, controve
Job Source: AmazonGeneral Motors
Washington, DC, United States
Job Description This role is based remotely but if you live within a 50-mile radius of Austin, TX, Roswell, GA, Mountain View, CA, or Warren, MI, you are expected to report to that location three times a week, at minimum. The Role: The Data Scientist for the Marketing Applied Science Team is an internal expert on methodology and practice of marketi
Job Source: General MotorsAmazon
Arlington, VA, United States
Description The People eXperience and Technology (PXT) Central Science Team uses science, engineering and working-backwards thinking to proactively identify mechanisms, process improvements and products, which simultaneously improve Amazon as well as Amazonians’ lives, wellbeing, and value of work. We are an interdisciplinary team which combines th
Job Source: AmazonGeneral Motors
Washington, DC, United States
Job Description This role is based remotely but if you live within a 50-mile radius of Austin, TX, Roswell, GA, Mountain View, CA or Warren, MI, you are expected to report to that location three times a week, at minimum This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. T
Job Source: General MotorsAmazon
Arlington, VA, United States
Description The People eXperience and Technology (PXT) Central Science Team uses science, engineering and working-backwards thinking to proactively identify mechanisms, process improvements and products, which simultaneously improve Amazon as well as Amazonians’ lives, wellbeing, and value of work. We are an interdisciplinary team which combines t
Job Source: AmazonAmazon
Arlington
Description Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. The Generative AI team helps AWS customers accelerate the use of Generative AI to solve business and o
Job Source: AmazonWashington, DC, United States
Job ID: 2678906 | Amazon.com Services LLC
At Amazon, a large portion of our business is driven by third-party Sellers who set their own prices. The Pricing science team is seeking a Sr. Applied Scientist to use statistical and machine learning techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping Marketplace Sellers offer Customers great prices. This role will be a key member of an Advanced Analytics team supporting Pricing related business challenges based in Seattle, WA.
The Sr. Applied Scientist will work closely with other research scientists, machine learning experts, and economists to design and run experiments, research new algorithms, and find new ways to improve Seller Pricing to optimize the Customer experience. The Applied Scientist will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. An Applied Scientist at Amazon applies scientific principles to support significant invention, develops code and are deeply involved in bringing their algorithms to production. They also work on cross-disciplinary efforts with other scientists within Amazon.
The key strategic objectives for this role include:
- Understanding drivers, impacts, and key influences on Pricing dynamics.
- Optimizing Seller Pricing to improve the Customer experience.
- Drive actions at scale to provide low prices and increased selection for customers using scientifically-based methods and decision making.
- Helping to support production systems that take inputs from multiple models and make decisions in real time.
- Automating feedback loops for algorithms in production.
- Utilizing Amazon systems and tools to effectively work with terabytes of data.
You can also learn more about Amazon science here - https://www.amazon.science/
BASIC QUALIFICATIONS - 4+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience in building machine learning models for business application
Amazon is committed to 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, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Posted: May 20, 2024 (Updated about 10 hours ago)
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Amazon is committed to 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, protected veteran status, disability, age, or other legally protected status.
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Email Alert for Sr. Applied Scientist, Pricing Science jobs in Washington, DC, United States
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