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职位Amazon

Applied Scientist II, SCOT Long-Term Planning & Forecasting

Amazon

Applied Scientist II, SCOT Long-Term Planning & Forecasting

Amazon

Bellevue, WA, USA

·

On-site

·

Full-time

·

4d ago

Amazon.com strives to be Earth's most customer-centric company where customers can shop in our stores to find and discover anything they want to buy. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment.

Amazon’s Long-Term Planning & Forecasting team is looking for passionate and talented individuals to help architect the future of the world's most advanced fulfillment network. This role will contribute to developing models that inform multi-billion-dollar investments in inventory, hiring, and other strategic decisions across our global stores.

As an Applied Scientist on our team, you will drive multi-billion-dollar investment decisions that shape Amazon's global fulfillment strategy. You will pioneer innovative solutions using operations research, AI, machine learning and statistical techniques, directly influencing Amazon's ability to delight customers while optimizing billions in capital investments. Your insights and recommendations will be presented to the highest levels of senior leadership, helping guide company-wide strategy.

Key job responsibilities

  • In this role, you will develop our next-generation regional fulfillment network planning system.
  • This involves creating sophisticated forecasting models that power network utilization decisions, transforming complex supply chain challenges into elegant mathematical solutions.
  • You will design and implement novel algorithms that optimize warehouse usage, inventory inbound timing, and labor planning.

A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

The benefits that generally apply to regular, full-time employees include:

  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!

At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team
Long-Term Planning and Forecasting (LTPF) organization develops forecasting, optimization, and analytics products and services to plan Amazon's topline demand, inventory, and fulfillment capacity and topology, including strategic decisions and Amazon policies to drive key business metrics.

This means accelerating the Amazon flywheel by 1) being the definitive source for accurate predictions and bridging of customer demand, inventory, and cube to enable optimization of decisions in the supply chain, and 2) optimizing inventory efficiency, capital allocation, network's topology, and fulfillment resources, aligning with our customer experience and cost-to-serve goals.

Basic Qualifications

  • 3+ years of building models for business application experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

  • Experience using Unix/Linux
  • Experience in professional software development

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually

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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