Research Scientist, Private Brands Intelligence - SCIT Science

About the role

The Private Brands team is seeking a Research Scientist to contribute to building science solutions at scale within Amazon's retail business. This role involves applying Optimization, Machine Learning, Statistics, Causal Inference, and Econometrics/Economics to derive actionable insights and develop statistical models and algorithms for strategic business decisions and operational improvements.

Responsibilities

• Work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable optimization solutions and ML models.
• Bring business and industry context to science and technology decisions, setting the standard for scientific excellence and influencing how algorithms are built and integrated.
• Tackle intrinsically hard problems, acquiring expertise as needed, and decomposing complex issues into straightforward solutions.
• Experience in Operations Research, predictive modeling, and working with distributed systems is preferred.
• Knowledge of R, Python, or similar scripting languages, experience with agile development, and familiarity with machine learning, statistics, and deep learning are beneficial.
• Ability to recognize opportunities where generative AI can enhance products, workflows, or customer experiences.

Qualifications

• PhD or Master's degree with 4+ years of quantitative field research experience.
• Experience investigating the feasibility of applying scientific principles and concepts to business problems and products.
• Knowledge of R, MATLAB, Python, or similar scripting languages.
• Experience with agile development.
• Experience in machine learning, statistics, and deep learning.
• Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.

Preferred Qualifications

• Knowledge of R, MATLAB, Python or similar scripting language.
• Experience with agile development.
• Experience in machine learning, statistics, and deep learning.
• Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.

Benefits

• Comprehensive benefits including medical, dental, vision, prescription, life insurance, AD&D, EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement coverage.
• 401(k) matching.
• Paid time off.
• Parental leave.

Pay

Base salary range: $136,000.00 - $184,000.00 USD annually

Schedule

Full-time