Senior Manager, Data Science, WW Returns & Recommerce – NCRC

Imagine being part of an agile team where your ideas have the potential to reach millions of customers. Picture working on cutting-edge, customer-facing solutions, where every team member is a critical voice in the decision making process. Envision being able to leverage the resources of a Fortune 500 company within the atmosphere of a start-up. Welcome to Amazon’s NCRC team. We solve complex problems in an ambiguous space, focusing on reducing return costs and improving the customer experience. We build solutions that are distributed on a large scale, positively impacting experiences for our customers and sellers. Come innovate with the NCRC team!

The Net Cost of Refunds and Concessions (NCRC) team is looking for a Senior Manager Data Science to lead a team of economists, business intelligence engineers and business analysts who investigate business problems, develop insights and build models & algorithms that predict and quantify new opportunity. The team instigates and productionalizes nascent solutions around four pillars: outbound defects, inbound defects, yield optimization and returns reduction. These four pillars interact, resulting in impacts to our overall return rate, associated costs, and customer satisfaction. You may have seen some downstream impacts of our work including Amazon.com customer satisfaction badges on the website and app, new returns drop off optionality, and faster refunds for low cost items. In this role, you will set the science vision and direction for the team, collaborating with internal stakeholders across our returns and re-commerce teams to scale and advance science solutions.

This role is based in Bellevue, WA

Key job responsibilities
* Single threaded leader responsible for setting and driving science strategy for the organization.
* Lead and provide coaching to a team of Scientists, Economists, Business Intelligence Engineers and Business Analysts.
* Partner with Engineering, Product and Machine Learning leaders to deliver insights and recommendations across NCRC initiatives.
* Lead research and development of models and science products powering return cost reduction.
* Educate and evangelize across internal teams on analytics, insights and measurement by writing whitepapers, knowledge documentation and delivering learning sessions.

We are open to hiring candidates to work out of one of the following locations:

Bellevue, WA, USA

Basic Qualifications

– MS degree in Economics, Statistics, Data Science, Data Mining, or other quantitative field
– 8+ years of experience in Economics, Data Science or other quantitative disciplines
– 4+ years of analytical people management experience
– Demonstrated experience developing successful analytics-based solutions to business problems
– Familiarity with probability, probability distributions, statistics, forecasting and causal inference
– Knowledge of various machine learning techniques and key parameters that affect their performance
– Experience with data scripting languages (e.g. SQL, Python) or statistical/mathematical software (e.g. R, SAS, or MATLAB)

Preferred Qualifications

– Ph.D. in Science, Engineering, Economics, Statistics or other quantitative fields
– Expertise in experimental design, feature engineering, causal inference and/or machine learning based forecasting models
– Previous experience managing research scientists and economists
– Ability to work cross-functionally and with others with diverse skill sets
– Experience with writing academic-styled papers for presenting both the methodologies used and results for data science projects

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,700/year in our lowest geographic market up to $324,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.