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    Sr Manager, Head of Product Intelligence, Pricing - Seattle, United States - Mygwork Lgbtq Business Community

    Mygwork Lgbtq Business Community
    Mygwork Lgbtq Business Community Seattle, United States

    2 weeks ago

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    Description
    This inclusive employer is a member of myGwork – the largest global platform for the LGBTQ+ business community.
    Description

    Amazon's Pricing & Promotions Science is seeking a driven Senior Applied Science Manager to build & lead an exceptional group of researchers in harnessing planet scale multi-modal datasets, and navigating a continuously evolving competitor landscape, in order to regularly generate fresh customer-relevant prices on billions of Amazon and Third Party Seller products worldwide.

    We are looking for a talented, organized, and customer-focused leader to head the Product Intelligence science group, with a charter to derive deep neural product relationships, quantify substitution and complementarity effects, and publish trust-preserving probabilistic price ranges on all products listed on Amazon.

    This role requires an individual with excellent team leadership skills, outstanding business acumen, and an entrepreneurial spirit.

    We are looking for an experienced leader who is a self-starter comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work in a fast-paced and ever-changing environment.

    Key job responsibilities

    Build the right team. Lead and foster a highly talented group of applied machine learning scientists & researchers. Establish internal and external talent acquisition opportunities.

    See the big picture. Shape long term vision for Amazon's science-based competitive, perception-preserving pricing techniques

    Build strong collaborations. Partner with product, engineering, and science teams within Pricing & Promotions to deploy machine learning price estimation and error correction solutions at Amazon scale

    Stay informed.

    Establish mechanisms to stay up to date on latest scientific advancements in machine learning, neural networks, natural language processing, probabilistic forecasting, and multi-objective optimization techniques.

    Identify opportunities to apply them to relevant Pricing & Promotions business problems

    Keep innovating for our customers. Foster an environment that promotes rapid experimentation, continuous learning, and incremental value delivery.

    About The Team


    Within Pricing & Promotions Science, the Product Intelligence team leverages planet scale multi-modal data on billions of Amazon and external competitor products to build advanced machine learning models for product similarity, substitutability, error detection & correction, and probabilistic price estimation.

    We preserve long term customer trust by ensuring Amazon's prices are always competitive and error free.

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

    Seattle, WA, USA

    Basic Qualifications

    Ph.
    D. or Master's degree in Computer Science, Statistics, Machine Learning, Natural Language Processing, Financial Modeling, or related field.

    10+ years of broad AI/ML research experience on large-scale industry problems in pricing, time series, forecasting, trading, recommendation, or natural language domains

    5+ years of experience leading applied science teams

    Expertise in deep learning methods


    A track record of balancing project delivery with longer term research, demonstrated via publications, or contributions to the open source community.

    Proficiency in programming languages such as Python and frameworks like TensorFlow, PyTorch

    Proven written and verbal technical communication with the ability to present complex topics clearly to audiences with varying levels of technical familiarity

    Preferred Qualifications

    Experience delivering and scaling AI/ML based solutions involving Probabilistic Forecasting, LLMs, Active Learning, Human Annotation,

    Experience of influencing business or company strategy through cutting edge research and long term science vision

    Experience partnering with academic institutions for collaborations and talent acquisition

    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 $175,000/year in our lowest geographic market up to $340,300/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.

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