Description
We are seeking an Applied Scientist to join the Selling Partner Communities (SPC) Science team. Our team is responsible for designing and developing scalable machine learning solutions to help solve some of the biggest challenges facing our selling partners. We leverage ML in production to personalize the seller experience, ensuring they can quickly find high-quality content from their community as well as content we generate. We use generative models to guide impactful content creation for our selling partners. We apply accurate and appropriate scientific techniques, built to scale, that directly improve the experience and perception of our selling partners globally. We drive strategic business impact and empower data-driven decision-making. Our team of scientists extracts actionable insights from large, complex datasets to influence critical product decisions, develop innovative machine learning models, and deploy effective solutions that directly support our selling partners.
As an Applied Scientist, you will play an important role in shaping the future of our selling partner communities ecosystem. You will collaborate closely with cross-functional stakeholders to understand business needs, and develop novel machine learning approaches to address them. You will design and develop sophisticated ML models, work closely with data engineers to build scalable data pipelines, and collaborate with Software Engineers to deploy and integrate impactful ML-based solutions that deliver high value to our selling partners and customers.
Key job responsibilities
Use machine learning and analytical techniques to create scalable solutions for solving seller problems.
Collaborate cross-functionally with stakeholders to establish success metrics, and deploy high-quality ML-based solutions in production.
Establish scalable, efficient, and automated processes for data acquisition, processing, model development, validation, and production deployment.
Continuously research and evaluate novel Machine Learning, Natural Language Processing, and Statistical techniques to enhance current solutions and deploy more effective ones.
Work closely with data & software engineering teams, as well as business stakeholders, to build model implementations and seamlessly integrate successful models and algorithms into production systems at scale.
About the team
The Selling Partner Communities (SPC) team's mission is to ensure every Selling Partner, regardless of their size, tenure, or location, is satisfied with their experience selling on Amazon. We listen to our selling partners and look holistically at the seller experience to identify opportunities that will make selling on Amazon even more delightful. We also help build lasting connections with and among our selling partners, to drive their success. Our vision is to be the most seller-centric online global community, creating destinations for knowledge, news, inspiration, and celebration.
Basic Qualifications
2+ years of building models for business application experience
PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience
Experience programming in Java, C++, Python or related language
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Preferred Qualifications
Experience in professional software development
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/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.
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