Amazon
Overview
Amazon’s GTM Science team uses machine learning and Generative AI to solve organizational challenges in talent management. The role involves working on talent science products across diverse datasets, partnering with engineering and product teams to productionize models, and influencing senior business leaders. As an applied scientist in GTM Science, you will work on problems in People Experience and Technology, help solve high impact business problems, and be encouraged to patent and publish your contributions. Key responsibilities
Design and implement models, science-based product ideas and features, project plans and communicate with stakeholders. Develop fair predictive models to understand important business and people-centered outcomes. Productionize ML and science models at the scale of Amazon. Basic Qualifications
Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse Preferred Qualifications
Experience implementing algorithms using both toolkits and self-developed code Have publications at top-tier peer-reviewed conferences or journals Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 $129,400/year in our lowest geographic market up to $212,800/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. Company
- Amazon.com Services LLC Job ID : A3093035
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Amazon’s GTM Science team uses machine learning and Generative AI to solve organizational challenges in talent management. The role involves working on talent science products across diverse datasets, partnering with engineering and product teams to productionize models, and influencing senior business leaders. As an applied scientist in GTM Science, you will work on problems in People Experience and Technology, help solve high impact business problems, and be encouraged to patent and publish your contributions. Key responsibilities
Design and implement models, science-based product ideas and features, project plans and communicate with stakeholders. Develop fair predictive models to understand important business and people-centered outcomes. Productionize ML and science models at the scale of Amazon. Basic Qualifications
Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse Preferred Qualifications
Experience implementing algorithms using both toolkits and self-developed code Have publications at top-tier peer-reviewed conferences or journals Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 $129,400/year in our lowest geographic market up to $212,800/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. Company
- Amazon.com Services LLC Job ID : A3093035
#J-18808-Ljbffr