Applied Scientist, Amazon Ads, Demand Forecasting & Guidance

Palo Alto, CA (On-site)

$172K/yr – $222K/yrSenior Level3+ years expFull time

Posted 10 days ago

Top 1% of applicants do these two things.

The other 99% submit and hope. You're about to do something different.

Job Summary

Lead machine learning initiatives across teams, build and productionize models, run experiments, and drive scalable data analysis to improve traffic monetization and merchandise sales.

  • Own end-to-end ML projects from concept to production
  • Perform hands-on analysis, modeling, and A/B experimentation
  • Establish scalable ML processes and research new approaches

Job Description

Responsibilities

  • Be the technical leader in Machine Learning; lead efforts within this team and across other teams.
  • Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.
  • Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
  • Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
  • Run A/B experiments, gather data, and perform statistical analysis.
  • Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
  • Research new and innovative machine learning approaches.

Requirements

  • 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 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

  • Experience using Unix/Linux
  • Experience in professional software development
  • Experience building machine learning models or developing algorithms for business application

Benefits

  • 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.
Amazon logo

Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

Founded in 1901
Seattle, WA, US
728K employees (58,003 in marketing)

Traffic Signals

Monthly Visitors
3M
Monthly Google Ads Budget
$281
Traffic Source Mix
Search
46.3%
Direct
40.5%
Referral
9.1%
Social
2.6%
Paid
1.3%

Headcount Trend

Current headcount: ~765.9K

Marketing Team

Marketing Team Size
44,604 (6% of company)
Median Career Experience
19 years
Median Tenure
6.3 years
Marketing Roles Posted (Last 30 Days)
29

Funding

Total Funding
$8.1B
Last Raise
$8B
Post IPO Debt, 3 years ago

Funding History

  • Jan 2023
    Post IPO Debt • $8B
  • Jul 2001
    Post IPO Equity • $100M
  • Jun 1996
    Series A • $8M

Recent News