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Amazon
Seattle
Description oin us in the evolution of Amazon’s Seller business! The Selling Partner Recruitment and Success organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate
Job Source: AmazonAmazon
Bellevue
Description The Geospatial science team solves problems at the interface of ML/AI and GIS for Amazon's last mile delivery programs. We have access to Earth-scale datasets and use them to solve challenging problems that affect hundreds of thousands of transporters. We are looking for strong candidates to join the transportation science team which ow
Job Source: AmazonAmazon
Seattle
Description Interested in solving challenging problems using latest developments in Large Language Models and Artificial Intelligence (AI)? Amazon's Consumer Electronics Technology (CE Tech) organization is redefining shopping experiences leveraging state of the art AI technologies. We are looking for a talented Sr. Applied Scientist with a solid b
Job Source: AmazonAmazon
Seattle
Description At Amazon, we strive every day to be Earth’s most customer centric company. Selling Partner Experience Science (SPeXSci) delivers on this by building AI-enhanced experiences, optimization, and automation that help third-party sellers build more successful businesses. This includes AI-enhanced assistance for troubleshooting issues, gener
Job Source: AmazonAmazon
Seattle
Description The Campaign Measurement & Optimization (CMO) organization is looking for a Senior Applied Scientist interested in solving one of the most challenging business problems in marketing measurement and developing cutting-edge ML model. Working with our team of data scientists, applied scientists, research scientists, and economists, this le
Job Source: AmazonAmazon
Seattle
Description Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high qualit
Job Source: AmazonAmazon
Seattle
Description Amazon's Pricing & Promotions Science is seeking a driven Applied Scientist to harness planet scale multi-modal datasets, and navigate a continuously evolving competitor landscape, in order to regularly generate fresh customer-relevant prices on billions of Amazon and Third Party Seller products worldwide. We are looking for a talented,
Job Source: AmazonAmazon
Seattle
Description Do you want to join an innovative team of scientists who use machine learning to help Amazon provide the best experience to our Selling Partners by automatically understanding and addressing their challenges, needs and opportunities? Do you want to build advanced algorithmic systems that are powered by state-of-art ML, such as Causal Mo
Job Source: AmazonSeattle
Description
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 - mazon.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 mazon.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 boutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Email Alert for Sr. Applied Scientist, Pricing Science_ jobs in Seattle
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