Responsibilities

• Apply your expertise in ML/DL and statistical modeling to develop solutions and systems that describe how Amazon’s marketing campaigns impact customers’ actions
• Own the end-to-end development of novel causal inference models that address the most pressing needs of our business stakeholders and help guide their future actions
• Recruit high performing Economist, Applied Scientists and BIEs to the team and provide mentorship.
• Establish team mechanisms, including team building, planning, and document reviews.
• Review and audit modeling processes and results from scientists within and outside your team
• Work with marketing leadership to align our measurement plan with business strategy
• Formalize assumptions about how our models are expected to behave and explain why they are reasonable
• Identify new opportunities that are suggested by the data insights - Bring a department-wide perspective into decision making

Requirements

• 10+ years of building large-scale machine learning and AI solutions at Internet scale experience
• Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
• Experience building large-scale machine learning and AI solutions at Internet scale
• Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
• Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track
• 10+ years of practical work applying ML to solve complex problems for large-scale applications experience
• 5+ years of hands-on work in big data, machine learning and predictive modeling experience
• 5+ years of people management experience
• PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
• Experience in practical work applying ML to solve complex problems for large scale applications

Preferred

• PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
• Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
• Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or an equivalent scripting language
• Experience researching actual applications

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments and restricted stock units (RSUs)
• The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.
• USA, WA, Seattle - 218,800.00 - 295,900.00 USD annually