Sr Applied Scientist, Sponsored Products and Brands Ads Response Prediction

Palo Alto, CA (On-site)

$167K/yr – $260K/yrSenior Level3+ years expFull time

Posted 3 months ago

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Job Summary

Lead data-driven optimization and production ML solutions for Sponsored Products and Brands at Amazon.

  • Own end-to-end ML projects: from data analysis to production deployment with software engineers.
  • Must-have: 3+ years building ML models for business applications.
  • Standout: scale-focused work on large-scale data analytics, model training and deployment.

Job Description

Responsibilities

  • Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities
  • Develop scalable and effective machine-learning models and optimization strategies to solve business problems
  • Run regular A/B experiments, gather data, and perform statistical analysis
  • Work closely with software engineers to deliver end-to-end solutions into production
  • Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving
  • Conduct research on new machine-learning modeling to optimize all aspects of Sponsored Products and Brands business

Requirements

  • 3+ years of building machine learning models for business application experience
  • PhD, or Master's degree and 6+ years of applied research experience
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning

Preferred

  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
  • Experience with large scale distributed systems such as Hadoop, Spark etc.

Benefits

  • 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.
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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)
13

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

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