Amazon
Senior Applied Scientist, Pricing and Promotion Optimization
Amazon, Seattle, Washington, us, 98127
Senior Applied Scientist, Pricing and Promotion Optimization
Join to apply for the
Senior Applied Scientist, Pricing and Promotion Optimization
role at
Amazon Senior Applied Scientist, Pricing and Promotion Optimization
2 weeks ago Be among the first 25 applicants Join to apply for the
Senior Applied Scientist, Pricing and Promotion Optimization
role at
Amazon Get AI-powered advice on this job and more exclusive features. Description
Amazon's Pricing & Promotions Optimization Science is seeking a motivated 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 and promotions on billions of Amazon and Third Party Seller products worldwide. Description
Amazon's Pricing & Promotions Optimization Science is seeking a motivated 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 and promotions on billions of Amazon and Third Party Seller products worldwide.
We are looking for a self-motivated, organized, and customer-focused applied scientists to define, measure, and launch customer-obsessed solutions across all products listed on Amazon.
This role requires an individual with exceptional AI and data science expertise, excellent cross-functional collaboration skills, strong business acumen, and an entrepreneurial spirit. We are looking for an experienced innovator, who is a self-starter, comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work in a fast-paced and ever-changing environment.
Key job responsibilities
See the big picture. Understand and influence the long term vision for Amazon's science-based competitive, perception-preserving pricing/promotion techniques Build strong collaborations. Partner with product, engineering, and science teams within and outside Pricing & Promotions org to deploy AI/Data Science solutions at Amazon scale Stay informed. Establish mechanisms to stay up to date on latest scientific advancements in neural networks, search & ranking, natural language processing, probabilistic forecasting, reinforcement learning, and multi-objective optimization techniques. Identify opportunities to apply them to relevant Pricing & Promotions business problems Keep innovating for our customers. Foster an environment that promotes rapid experimentation, continuous learning, and incremental value delivery Successfully execute & deliver. Apply your exceptional AI and data science expertise to incrementally move the needle on some of our hardest science and tech problems
About The Team
About the team: the Pricing and Promotion Optimization team within P2 Science leads the definition, measurement, and implementation of the state-of-the-art AI and data science solutions to improve price/promotion quality across the site and bring value to customers, sellers and Amazon.
Basic Qualifications
5+ years of building machine learning models for business application experience PhD, or Master's degree and 5+ 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 with large scale distributed systems such as Hadoop, Spark etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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.
Company
- Amazon.com Services LLC
Job ID: A3026916 Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Research, Science, and Engineering Industries Software Development Referrals increase your chances of interviewing at Amazon by 2x Get notified about new Applied Scientist jobs in
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#J-18808-Ljbffr
Join to apply for the
Senior Applied Scientist, Pricing and Promotion Optimization
role at
Amazon Senior Applied Scientist, Pricing and Promotion Optimization
2 weeks ago Be among the first 25 applicants Join to apply for the
Senior Applied Scientist, Pricing and Promotion Optimization
role at
Amazon Get AI-powered advice on this job and more exclusive features. Description
Amazon's Pricing & Promotions Optimization Science is seeking a motivated 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 and promotions on billions of Amazon and Third Party Seller products worldwide. Description
Amazon's Pricing & Promotions Optimization Science is seeking a motivated 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 and promotions on billions of Amazon and Third Party Seller products worldwide.
We are looking for a self-motivated, organized, and customer-focused applied scientists to define, measure, and launch customer-obsessed solutions across all products listed on Amazon.
This role requires an individual with exceptional AI and data science expertise, excellent cross-functional collaboration skills, strong business acumen, and an entrepreneurial spirit. We are looking for an experienced innovator, who is a self-starter, comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work in a fast-paced and ever-changing environment.
Key job responsibilities
See the big picture. Understand and influence the long term vision for Amazon's science-based competitive, perception-preserving pricing/promotion techniques Build strong collaborations. Partner with product, engineering, and science teams within and outside Pricing & Promotions org to deploy AI/Data Science solutions at Amazon scale Stay informed. Establish mechanisms to stay up to date on latest scientific advancements in neural networks, search & ranking, natural language processing, probabilistic forecasting, reinforcement learning, and multi-objective optimization techniques. Identify opportunities to apply them to relevant Pricing & Promotions business problems Keep innovating for our customers. Foster an environment that promotes rapid experimentation, continuous learning, and incremental value delivery Successfully execute & deliver. Apply your exceptional AI and data science expertise to incrementally move the needle on some of our hardest science and tech problems
About The Team
About the team: the Pricing and Promotion Optimization team within P2 Science leads the definition, measurement, and implementation of the state-of-the-art AI and data science solutions to improve price/promotion quality across the site and bring value to customers, sellers and Amazon.
Basic Qualifications
5+ years of building machine learning models for business application experience PhD, or Master's degree and 5+ 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 with large scale distributed systems such as Hadoop, Spark etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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.
Company
- Amazon.com Services LLC
Job ID: A3026916 Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Research, Science, and Engineering Industries Software Development Referrals increase your chances of interviewing at Amazon by 2x Get notified about new Applied Scientist jobs in
Seattle, WA . Seattle, WA $110,000.00-$180,000.00 2 weeks ago Seattle, WA $100,000.00-$220,000.00 3 months ago Seattle, WA $136,000.00-$212,800.00 3 days ago data scientist, Staffing- Data & Analytics (Seattle)
Seattle, WA $110,600.00-$166,000.00 2 days ago Seattle, WA $113,000.00-$195,200.00 1 week ago Bellevue, WA $163,360.00-$245,040.00 5 days ago Seattle, WA $186,400.00-$314,900.00 1 day ago Research Scientist, Robotics Research - New College Grad 2025
Seattle, WA $160,000.00-$258,750.00 1 day ago Seattle, WA $72,000.00-$80,000.00 5 days ago Redmond, WA $100,600.00-$215,400.00 1 week ago Bellevue, WA $190,000.00-$320,000.00 1 week ago Redmond, WA $80,000.00-$180,000.00 2 days ago Seattle, WA $175,000.00-$200,000.00 1 week ago Redmond, WA $90,000.00-$120,000.00 3 weeks ago Seattle, WA $140,000.00-$220,000.00 4 months ago Seattle, WA $189,000.00-$235,500.00 2 months ago Applied Scientist, Autonomous Systems and Control Simulation
Bothell, WA $128,119.00-$167,740.00 1 month ago Bellevue, WA $207,502.00-$240,240.00 15 hours ago Seattle, WA $136,000.00-$212,800.00 1 week ago Seattle, WA $201,000.00-$277,000.00 1 day ago Research Scientist - Computational Chemist
Redmond, WA $147,000.00-$208,000.00 4 days ago Bellevue, WA $130,000.00-$200,000.00 2 weeks ago Seattle, WA $158,200.00-$185,000.00 1 month ago Research Scientist, Scientific Discovery
Seattle, WA $167,030.00-$260,570.00 2 weeks ago Seattle, WA $143,000.00-$312,800.00 1 week ago Applied Scientist I, Amazon Music Catalog
Seattle, WA $129,400.00-$212,800.00 3 days ago Redmond, WA $147,000.00-$208,000.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr