AS II - Profitability Sci, Profit Intelligence

Amazon • Seattle, WA

6d

About The Position

Profit Intelligence (PI) team in Amazon , owning Amazon's core profitability prediction system, is looking for an ambitious Senior Applied Scientist to build the next generation of profitability science for Amazon. As an AS II in PI, you will partner closely with science leadership, business stakeholders, applied scientists, economists, and engineers to solve key business problems that are at the core of economic prediction and cost optimization for Amazon, empowering downstream teams to make high-velocity, high-quality profitability decisions for both short term and long term. You will utilize massive data, state-of-the-art scientific computing, econometrics, time-series forecasting, and machine-learning, etc. to do so. Some of the science you create will be publishable in internal or external scientific journals and conferences. You will work closely with a team of economists, applied scientists, business analysts, data engineers, product managers, and software engineers. The team is unique in its exposure to company-wide strategies, and operates at the research frontier of utilizing data, machine-learning, artificial intelligence to inform business profitability strategies.

Requirements

• 2+ years of building models for business application experience
• PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience in prediction and forecasting in a research or industrial environment

Responsibilities

• Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Candidate should show a tracking record of delivering projects well and on-time, preferably in collaboration with other team members (e.g. co-authors).
• Experiments and prototype implementations of new machine learning algorithms and prediction techniques, with a capacity for dealing with a high-level of ambiguity.
• Partners with scientists, engineers, product managers, and stockholders to use data and model driven approach to influence business decisions
• Influence the team to adopt cutting edge technologies and machine learning best practices to ensure a high standard of quality for all of the team deliverables

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree