Manager III, Data Science - AMZ9749732
Amazon
9 days ago
Full-time
On-site
Seattle, Washington, United States
Data Science & Analytics
MULTIPLE POSITIONS AVAILABLE
Employer: AMAZON WEB SERVICES, INC.
Offered Position: Manager III, Data Science
Job Location: Seattle, Washington
Job Number: AMZ9749732
Position Responsibilities:
Oversee a team of data scientists and business analysts working to build largescale, distributed systems to increase effectiveness of Amazon’s abuse detection systems. Define key business goals. Aggregate data from multiple sources to inform decision making. Manage and quantify improvement in customer experience resulting from research outcomes. Develop and manage a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated into production systems. Mentor junior scientists.
40 hours / week, 8:00am-5:00pm, Salary Range $196,914/year to $236,900/year.
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, visit:
https://www.aboutamazon.com/workplace/employee-benefits.
Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000
Position Requirements:
Master’s degree or foreign equivalent degree in Computer Science, Mathematics, Machine Learning, Statistics, Economics, or a related field and three years of experience in the job offered or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Mathematics, Machine Learning, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and three years of experience. Must have three years of experience in the following skill(s): (1) managing data scientists or machine learning scientists; (2) managing cross‐functional projects; (3) working with machine learning techniques, generative AI, foundation models data mining, and data visualization, data infrastructure, and big data technologies; (4) experience with machine learning operations and production deployment of Artificial Intelligence (AI) systems and (5) utilizing R, MATLAB, Python or similar scripting languages.#0000
Please see job description and the position requirements above.
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.
Employer: AMAZON WEB SERVICES, INC.
Offered Position: Manager III, Data Science
Job Location: Seattle, Washington
Job Number: AMZ9749732
Position Responsibilities:
Oversee a team of data scientists and business analysts working to build largescale, distributed systems to increase effectiveness of Amazon’s abuse detection systems. Define key business goals. Aggregate data from multiple sources to inform decision making. Manage and quantify improvement in customer experience resulting from research outcomes. Develop and manage a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated into production systems. Mentor junior scientists.
40 hours / week, 8:00am-5:00pm, Salary Range $196,914/year to $236,900/year.
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, visit:
https://www.aboutamazon.com/workplace/employee-benefits.
Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000
Position Requirements:
Master’s degree or foreign equivalent degree in Computer Science, Mathematics, Machine Learning, Statistics, Economics, or a related field and three years of experience in the job offered or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Mathematics, Machine Learning, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and three years of experience. Must have three years of experience in the following skill(s): (1) managing data scientists or machine learning scientists; (2) managing cross‐functional projects; (3) working with machine learning techniques, generative AI, foundation models data mining, and data visualization, data infrastructure, and big data technologies; (4) experience with machine learning operations and production deployment of Artificial Intelligence (AI) systems and (5) utilizing R, MATLAB, Python or similar scripting languages.#0000
Please see job description and the position requirements above.
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.