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    Senior Manager, Research Science, Selling Partner Experience - Seattle, WA, United States - Amazon

    Amazon
    Amazon Seattle, WA, United States

    2 weeks ago

    Amazon background
    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
    - Develop and implement strategies to improve the efficiency and effectiveness of programs deliverine datasets
    - 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 We are open to hiring candidates to work out of one of the following locations: Seattle, WA, 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

    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 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.

    Posted: January 19, 2024 (Updated 12 minutes ago)

    Posted: April 11, 2024 (Updated about 1 hour ago)

    Posted: April 15, 2024 (Updated about 1 hour ago)

    Posted: April 22, 2024 (Updated about 1 hour ago)

    Posted: April 17, 2024 (Updated about 1 hour ago)

    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.

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