Amazon
Applied Scientist - II, Everyday Essentials Science
Job ID: 2963821 | Amazon.com Services LLC The Everyday Essentials team at Amazon is seeking an experienced Applied Scientist to address complex problems related to enhancing the profitability of Everyday Essential items available through Amazon.com. The role involves developing initiatives that improve how Amazon connects customers with local inventory, aiming for a more efficient shopping experience with faster delivery options and reduced operational costs. The scientist will analyze customer preferences and supply chain conditions to determine product regional benefits. Key Responsibilities
Scale optimization techniques to generate business value Design and analyze A/B tests Utilize distributed machine learning and statistical algorithms on large data volumes Present and publish scientific research within Amazon's community Mentor junior team members Collaborate with business, engineering, and partner teams to align focus areas About the Team
Our cross-functional team employs various scientific tools including machine learning, optimization, causal inference, NLP, linear programming, reinforcement learning, and forecasting algorithms. Key research areas include product substitutability modeling, basket awareness, speed sensitivity, network capacity constraints, and demand forecasting. Basic Qualifications
2+ years of experience building models for business applications PhD or Master's degree with 4+ years of relevant experience Proficiency in Java, C++, Python, or related languages Experience with deep learning architecture design, training, optimization, and pruning Preferred Qualifications
Experience with Unix/Linux Professional software development experience Amazon is an equal opportunity employer. We consider qualified applicants with arrest and conviction records in accordance with applicable laws, including the Los Angeles County and San Francisco Fair Chance Ordinances. If you require workplace accommodations during the application process, please visit
this link . Our compensation varies by geographic location, ranging from $136,000 to $223,400 annually, with potential additional benefits including equity and sign-on bonuses. For more details, visit
Amazon Benefits . This position remains open until filled. Apply via our career site.
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Job ID: 2963821 | Amazon.com Services LLC The Everyday Essentials team at Amazon is seeking an experienced Applied Scientist to address complex problems related to enhancing the profitability of Everyday Essential items available through Amazon.com. The role involves developing initiatives that improve how Amazon connects customers with local inventory, aiming for a more efficient shopping experience with faster delivery options and reduced operational costs. The scientist will analyze customer preferences and supply chain conditions to determine product regional benefits. Key Responsibilities
Scale optimization techniques to generate business value Design and analyze A/B tests Utilize distributed machine learning and statistical algorithms on large data volumes Present and publish scientific research within Amazon's community Mentor junior team members Collaborate with business, engineering, and partner teams to align focus areas About the Team
Our cross-functional team employs various scientific tools including machine learning, optimization, causal inference, NLP, linear programming, reinforcement learning, and forecasting algorithms. Key research areas include product substitutability modeling, basket awareness, speed sensitivity, network capacity constraints, and demand forecasting. Basic Qualifications
2+ years of experience building models for business applications PhD or Master's degree with 4+ years of relevant experience Proficiency in Java, C++, Python, or related languages Experience with deep learning architecture design, training, optimization, and pruning Preferred Qualifications
Experience with Unix/Linux Professional software development experience Amazon is an equal opportunity employer. We consider qualified applicants with arrest and conviction records in accordance with applicable laws, including the Los Angeles County and San Francisco Fair Chance Ordinances. If you require workplace accommodations during the application process, please visit
this link . Our compensation varies by geographic location, ranging from $136,000 to $223,400 annually, with potential additional benefits including equity and sign-on bonuses. For more details, visit
Amazon Benefits . This position remains open until filled. Apply via our career site.
#J-18808-Ljbffr