Company Overview
At Amazon, our work is guided by four core principles: a relentless focus on customers over competitors, a passion for innovation, a dedication to operational excellence, and a commitment to long-term thinking. We thrive on creating transformative technologies, developing groundbreaking products, and delivering services that make a real impact on people’s lives. Embracing change, acting quickly, and learning from failure are central to our culture.
While we operate with the scale and reach of a global enterprise, we maintain the agility and entrepreneurial spirit of a startup.
Amazonians collaborate to invent and advance technologies across Amazon Web Services, Alexa, and more—serving a diverse global community of shoppers, sellers, content creators, and developers.
Key Job Responsibilities
As a Data Scientist III with Amazon Devices, you will be instrumental in shaping product strategies and launch initiatives through advanced analytics and forecasting. Your core responsibilities will include:
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Designing and executing advanced conjoint surveys to capture critical customer insights for upcoming device launches.
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Building and refining demand forecasting models by integrating conjoint data with historical sales to support accurate pre-launch projections.
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Leading customer segmentation initiatives to identify trends, behaviors, and purchasing characteristics across various device categories.
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Collaborating closely with cross-functional teams—including Product Management, Marketing, and Finance—to translate insights into actionable product development and go-to-market strategies.
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Applying machine learning techniques to improve forecasting precision and segmentation accuracy.
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Staying informed on the latest data science methodologies, particularly in conjoint analysis, demand modeling, and consumer segmentation.
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Mentoring junior data scientists and contributing to the growth and innovation of the data science team within Amazon Devices.
Basic Qualifications
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5+ years of experience with data querying (e.g., SQL), scripting (e.g., Python), or statistical tools (e.g., R, SAS, MATLAB).
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4+ years of experience in a data science role.
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Proficiency in statistical modeling, including techniques like multinomial logistic regression.
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Bachelor’s degree in a quantitative discipline such as Statistics, Mathematics, Data Science, Business Analytics, Economics, Finance, Engineering, or Computer Science.
Preferred Qualifications
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Demonstrated experience as a team leader or mentor in a data science capacity.
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Master’s degree in a quantitative field such as Statistics, Mathematics, Data Science, Business Analytics, Economics, Finance, Engineering, or Computer Science.
Additional Information
Equal Opportunity:
Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on veteran status, disability, or other legally protected characteristics.
For Los Angeles County Applicants:
Responsibilities include working collaboratively with peers and leadership, maintaining high standards under pressure, and adhering to company policies and legal regulations. Amazon complies with the Los Angeles County Fair Chance Ordinance and will consider qualified applicants with arrest and conviction records.