Amazon.com Services LLC
Machine Learning Science, Applied Science, north america stores
AppliedScientist,PricingandPromotionOptimization
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Scientist, Pricing and Promotion Optimization at Amazon.com Services LLC. Skills: Machine learning, Reinforcement learning, Pricing optimization, Promotion optimization. Harness planet scale multi-modal datasets. Navigate competitor landscape”
What You'll Achieve.
Drive extremely large impact
Industry & Context.
Problem-solving
What They're Looking For.
Must Have
Master's degree and 4+ years experience, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing, 2+ years predictive modeling experience, 2+ years large data analysis experience, Experience solving business problems with ML, Experience solving business problems with data mining, Experience solving business problems with statistical algorithms
Nice to Have
PhD, Experience building ML models, Experience developing algorithms for business application, Experience in patents or publications, Experience in optimization (LP, MIP), Experience in statistics, Experience in machine learning, Experience in process control, Experience in combinatorial optimization
What You'll Do.
Harness planet scale multi-modal datasets
Navigate competitor landscape
Generate customer-relevant prices
Measure algorithmic pricing models
Refine algorithmic pricing models
Launch algorithmic pricing models
Understand long term vision for pricing techniques
Influence long term vision for pricing techniques
Partner with product teams
Partner with engineering teams
Partner with science teams
Deploy machine learning price estimation solutions
Deploy machine learning error correction solutions
Establish mechanisms to stay up to date on
Identify opportunities to apply scientific advancements
Foster environment for rapid experimentation
Foster environment for continuous learning
Foster environment for incremental value delivery
Apply technical machine learning expertise
Move needle on pricing problems
Invent price optimization tools for Sellers
Deliver price optimization tools for Sellers
Invent simulation tools for Sellers
Deliver simulation tools for Sellers
Invent competitiveness tools for Sellers
Deliver competitiveness tools for Sellers
Shape RL optimization platform
Extend RL optimization platform
Automate optimization of system parameters
Automate optimization of price inputs
Explore CX promotion optimization
Explore discount amount promotion optimization
Explore cross-product promotion optimization
Identify opportunities to optimally price across systems
Identify opportunities to optimally price across contexts
Build advanced optimization models for pricing
Build advanced optimization models for elasticity estimation
Build advanced optimization models for product substitutability
Build advanced optimization models for optimization
Ensure Amazon's prices are competitive
Ensure Amazon's prices are error free
How You'll Work.
Team & Collaboration
Cross-functional collaboration skills; Partner with product teams; Partner with engineering teams; Partner with science teams
Full Job 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, organized, and customer-focused applied researchers to join our Pricing and Promotions Optimization science group, with a charter to measure, refine, and launch customer-obsessed improvements to our algorithmic pricing and promotion models across all products listed on Amazon. This role requires an individual with exceptional machine learning and reinforcement learning modeling expertise, excellent cross-functional collaboration skills, 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 techniques - Build strong collaborations. Partner with product, engineering, and science teams within Pricing & Promotions to deploy machine learning price estimation and error correction solutions at Amazon scale - Stay informed. Establish mechanisms to stay up to date on latest scientific advancements in machine learning, neural networks, natural language processing, probabilistic forecasting, 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 technical machine learning expertise to incrementally move
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