Amazon is seeking a highly motivated Applied Scientist to develop machine learning solutions that transform how they reach and engage customers at a global scale. The role involves collaborating with a diverse team to build and enhance causal measurement, optimization, and prediction models for Amazon's marketing initiatives.
Responsibilities
- Innovating scalable marketing methodologies using causal inference and machine learning
- Developing interpretable models that provide actionable business insights
- Collaborating with engineers to automate and scale scientific solutions
- Engaging with stakeholders to ensure effective adoption of scientific products
- Presenting findings to the Amazon Science community to promote excellence and knowledge-sharing
Skills
- PhD in a quantitative field, or MS degree and 1+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience with data analysis package (R, SAS, Matlab, etc.)
- Experience using SQL databases to manage and analyze large data sets
- PhD in operations research, applied mathematics, theoretical computer science, or equivalent
- Experience applying forecasting and data mining techniques
Benefits
- 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
- Parental leave
Company Overview
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. It was founded in 1994, and is headquartered in Seattle, Washington, USA, with a workforce of 10001+ employees. Its website is https://amazon.com.Company H1B Sponsorship
Amazon has a track record of offering H1B sponsorships, with 22803 in 2025, 21175 in 2024, 19057 in 2023, 24088 in 2022, 12233 in 2021, 14881 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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