Amazon · 5 months ago
Data Scientist III, Amazon Business, Amazon Business - Analytics Data Product & Tech
Seattle, Washington, USA
Full-time
Onsite
Mid, Senior Level
$143K/yr - $248K/yr
5+ years expAmazon is a rapidly expanding global business passionate about building innovative solutions. They are seeking a Data Scientist to leverage machine learning and generative AI to improve customer outreach and experience, while also driving sales productivity through data-driven insights and tools.
Artificial Intelligence (AI)DeliveryE-CommerceRetail
Responsibilities
Leverage machine learning techniques and generative AI to outreach customers based on their life cycle stage, behavioral patterns, and purchase history
Perform text mining and insight analysis of real-time customer conversations and make the model learn and recommend the solutions
Partner with product management and technical leadership to identify opportunities to innovate customer journey experiences
Identify new areas of investment and work to align product roadmaps to deliver on these opportunities
Develop unique scientific solutions and play a crucial role in shaping strategies
Understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question
Design and lead large projects and experiments from beginning to end, and drive solutions to complex or ambiguous problems
Recommend the right strategies, methodologies, and solve challenges using statistical modeling, machine learning, optimization, and/or other approaches for quantifiable impact on the business
Build models that measure incremental value, predict growth, define and conduct experiments to optimize engagement of AB customers, and communicate insights and recommendations to product, sales, and finance partners
Work with Technical Product Managers, Data Engineers, other Scientists, and Salesforce developers, to build new and enhance existing ML models to optimize customer experience
Prototype and test new ideas, iterate quickly, and deploy models to production
Conduct in-depth data analysis and feature engineering to build robust ML models
Qualification
Required
Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
5+ years of data scientist experience
5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
Experience with statistical models e.g. multinomial logistic regression
Preferred
Experience managing data pipelines
Experience working on personalisation and customer journey analysis
Experience in building text/speech recognition, machine translation and natural language processing systems (e.g., emails, phone conversations)
Experience building applications leveraging GenAI
Benefits
Full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
Kleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-08
Maryland Daily Record
2026-01-08
Company data provided by crunchbase