Data Scientist II, Amazon Private Brands
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Key skills for this role
About the Role
Amazon Private Brands Selection Guidance team is seeking a Data Scientist II to apply Generative AI, Machine Learning, and Economics to drive product assortment and business decisions.
Key Skills for This Role
Responsibilities
- Partner with business stakeholders to understand APB business problems and frame ambiguous business problems as science problems and solutions.
- Perform data analysis and build data pipelines to drive business decisions.
- Invent novel science solutions, develop prototypes, and deploy production software to solve business problems.
- Review and guide science solutions across the team.
- Publish and socialize research across Amazon and external avenues.
- Leverage industry best practices to establish repeatable applied science practices, principles & processes.
Requirements
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques experience
- 1+ years of working with or evaluating AI systems experience
- Master's degree in STEM or experience working in STEM
- Experience applying theoretical models in an applied environment
Full Job Posting
Description
- Join Amazon Private Brands Selection Guidance organization in building science and tech solutions at scale to delight customers with products across private brands such as Amazon Basics, Amazon Essentials, and by Amazon.
- The Selection Guidance team applies Generative AI, Machine Learning, Statistics, and Economics solutions to drive product assortment, strategic business decisions, and product inputs such as title, price, merchandising and ordering.
- As a Data Scientist you will investigate business problems using data, invent novel solutions and prototypes, and directly contribute to bringing your ideas to life through production implementation.
Key job responsibilities
- Partner with business stakeholders to deeply understand APB business problems and frame ambiguous business problems as science problems and solutions.
- Perform data analysis and build data pipelines to drive business decisions.
- Invent novel science solutions, develop prototypes, and deploy production software to solve business problems.
- Review and guide science solutions across the team.
- Publish and socialize your and the team's research across Amazon and external avenues as appropriate.
- Leverage industry best practices to establish repeatable applied science practices, principles & processes.
Basic Qualifications
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 1+ years of working with or evaluating AI systems experience
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in STEM
- Experience applying theoretical models in an applied environment
Preferred Qualifications
- Knowledge of machine learning concepts and their application to reasoning and problem solving
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience working on multi team, cross disciplinary projects
- Experience applying quantitative analysis to solve business problems and making data driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication
Compensation and Benefits
- Base salary range: 109,100.00 182,200.00 CAD annually
- Total compensation may include sign on payments and restricted stock units (RSUs)
- Comprehensive benefits including health insurance, RRSP, DPSP, paid time off
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