Sr. Applied Scientist, WW Pricing & Promotions Science

Amazon • Seattle, WA

3d

About The Position

Amazon's Worldwide Pricing & Promotions organization is seeking a strong Sr.
Applied Scientist to help solve complex business problems involving promotion
sourcing algorithms and promotion merchandising strategies at a global scale.
This Sr. Applied Scientist will operate in a team of other scientists and
economists. Our team applies causal inferences, statistics, machine learning,
forecasting, optimization, economics, and experimentation to drive actionable
insights and to improve strategic business decision-making.

This is an individual contributor role that requires collaboration across teams
and functions to solve core business problems for the company around setting
promotional strategies. The work is part of significant scientific investments
in promotions systems that forecast customer demand, predicts the quality of
promotions, and optimize promotions sourcing and merchandising strategies across
different surfaces.

As a Sr. Applied Scientist on the WW Pricing & Promotions Science team, you are
considered a leader in your team. You are recognized for your expertise, and
your peers regularly seek your advice. You invent and design new solutions for
scientifically-complex problem areas to improve the promotions business. You
apply and set the example for best practices in applied science and software
engineering, and systematically peer review code written by your team members.
You drive your team’s scientific agenda by proposing new initiatives and
securing management buy-in. You author internal documents and/or external
publications where appropriate.

The WW Pricing & Promotions Science team is responsible for driving scientific
innovation to support pricing and promotions programs across Amazon's
businesses. We specialize in experimental and observational causal methods,
forecasting, and optimization. We apply these tools to drive business decision
making at scale, leading to launch decisions of new pricing algorithms and new
promotion strategies, understanding short- and long-term value of different
programs, and the prioritization of budget allocations. We also develop models
to set optimal prices and promotions, and define innovative price guardrails and
incentives to optimize for long-term program health.

Requirements

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning
• Experience in building machine learning models for business application

Nice To Haves

• 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.
• Experience using managed ML/AI solutions
• Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability

Responsibilities

• Identify and devise new research solutions to address complex problems related to promotion forecasting and optimization
• Lead the design, implementation, and successful delivery of solutions for scientifically-complex problems and systems in production, which can be brand new, or evolving from existing ones
• Apply and drive the team to adopt best practices
• Influence your team’s science and business strategy by making insightful contributions to team roadmaps, goals, priorities, and approach
• Serve as a role model for publishing research results at internal and external venues, when appropriate
• Proactively communicate your ideas effectively to achieve the right outcome for your team and customer
• Actively participate in the science hiring process as well as mentor other scientists - improving their skills, their knowledge of your solutions, and their ability to get things done

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