热门公司

招聘

职位Amazon

Manager III, Data Science - AMZ9749732

Amazon

Manager III, Data Science - AMZ9749732

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

2w ago

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

Basic Qualifications

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

Preferred Qualifications

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.

总浏览量

0

申请点击数

0

模拟申请者数

0

收藏

0

关于Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

2.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

2.5

职业发展

2.3

管理层

2.1

35%

推荐给朋友

优点

Good pay and compensation

Strong benefits package

Flexible scheduling options

缺点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

薪资范围

4个数据点

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L4

0份报告

$181,968

年薪总额

基本工资

-

股票

-

奖金

-

$154,672

$209,264

面试经验

10次面试

难度

3.7

/ 5

时长

21-35周

录用率

20%

体验

正面 10%

中性 10%

负面 80%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge