Senior Manager, Research Science, Selling Partner Experience - Sunnyvale, CA, United States - Amazon
Description
Senior Manager, Research Science, Selling Partner Experience
Job ID: | Services LLC
strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online by giving customers more of what they want - low prices, vast selection, and convenience - continues to grow and evolve as a world-class e-commerce platform. Within Amazon, the Selling Partner Services's (SPS) goal is to enable third-party Sellers of any size by helping them build the business they want. We are the Core Selling Partner Experience (CSPE) team which defines, implements, and enforces quality standards for all Amazon-built experiences for all SPs worldwide.
Key job responsibilities- Lead and manage a team of cross-functional roles of research scientists, researchers, product managers, and program managers
- Develop and implement strategies to improve the efficiency and effectiveness of programs delivering survey datasets and correlated behavioral signals
- Persuade decision makers at all levels of the organization to take aligned action on research findings – inspire and help them internalize opportunities to delight our customers and differentiate our service.
- Mentor and guide team members to achieve their career goals and objectives We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA | Arlington, VA | Sunnyvale, CA We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Seattle, WA, USA | Sunnyvale, CA, USA
BASIC QUALIFICATIONS
Masters in Computer Science, Linguistics, or a related field.
- Proven track record of leading and managing teams handling data collection programs
- Familiarity with large-scale data processing and storage systems.
- Led research and development of models and science product
- Educate and evangelize across internal teams on analytics, insights and measurement
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
- 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
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Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
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