Data Scientist, Private Brand Analytics

Amazon

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profile Job Location:

Vancouver - Canada

profile Monthly Salary: Not Disclosed
Posted on: 3 days ago
Vacancies: 1 Vacancy

Job Summary

This role is on the Core Tech Private Brands Analytics (PBA) team a cross-functional team (software engineering data science data engineering business intelligence) that owns Amazon Private Brands (APBs) central data infrastructure and builds platforms and models that help improve business this job you will build and improve forecasting and planning models across APB partnering with business science and tech stakeholders. Day-to-day work includes end-to-end pipeline development (feature engineering through training and deployment) on SageMaker S3 and Datanet replacing manual spreadsheet-driven processes with reproducible code-driven pipelines and dashboards evaluating model accuracy across business segments and contributing to APBs science standards alongside a senior scientist assessing the orgs AI framework and experimentation rigor.

Key job responsibilities
The ideal candidate has strong fundamentals in forecasting and applied ML experience with Python and SQL comfort working with large-scale retail datasets and the ability to communicate findings clearly to non-technical partners.

- 1 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 2 years of data/research scientist statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- 1 years of creating or contributing to mathematical textbooks research papers or educational content experience
- Masters degree in Science Technology Engineering or Mathematics (STEM) or experience working in Science Technology Engineering or Mathematics (STEM)

- Knowledge of statistical packages and business intelligence tools such as SPSS SAS S-PLUS or R
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience with clustered data processing (e.g. Hadoop Spark Map-reduce and Hive)
- Experience working with or evaluating AI systems
- Experience applying quantitative analysis to solve business problems and making data-driven business decisions
- Experience effectively communicating complex concepts through written and verbal communication

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company Amazons package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon offers comprehensive benefits including health insurance (medical dental vision prescription basic life & AD&D insurance) Registered Retirement Savings Plan (RRSP) Deferred Profit Sharing Plan (DPSP) paid time off and other resources to improve health and well-being. We thank all applicants for their interest however only those interviewed will be advised as to hiring status.



CAN BC Vancouver - 85200.00 - 142300.00 CAD annually


Required Experience:

IC

This role is on the Core Tech Private Brands Analytics (PBA) team a cross-functional team (software engineering data science data engineering business intelligence) that owns Amazon Private Brands (APBs) central data infrastructure and builds platforms and models that help improve business this job...
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