Data Scientist
Amazon
Vancouver, BC, CA
5d ago
source : BCJobs.com

DESCRIPTION

Operations Finance Technology team, responsible for building technical solutions for multibillion World Wide Operational Cost analytic including but not limited to Inbound cost (Receiving / PO), variable Cost, fixed cost, outbound (Customer Shipments / Transportation), and Customer Service, is looking for a data scientist.

As a data scientist, you will design, evangelize, and implement solutions to address complex, business questions using advanced statistical techniques, experimentation, and big data.

You will work with business and tech leaders to conduct statistical analyses, develop data pipelines, build ML models, build tools to drive continuous experimentation, and provide recommendations based on data analyses.

We are looking for creative thinkers who can combine a strong analytical toolkit with a desire to continue innovating, and who is able to execute and deliver on big ideas.

The ideal candidate will demonstrate deep understanding of statistical and machine learning concepts, technical skills for leveraging analytical tools to solve large scale problems, technical aptitude to remain abreast with data science related technologies, leadership in charting new analytical courses, and excitement to take iterative approaches to tackle long-

term challenges. The successful candidate will have good communication skills and ability to speak at a level appropriate for the audience, will collaborate effectively with fellow scientists, software development engineers, and product managers, and will deliver business value in a close partnership with many stakeholders across Amazon.

BASIC QUALIFICATIONS

  • M.S. or equivalent in Statistics, Mathematics, Engineering, Computer Science, or related analytical disciplines.
  • Deep understanding of regression modelling, forecasting techniques, time series analysis, machine-learning concepts such as supervised and unsupervised learning, classification, random forest, etc.
  • Experience using statistical, simulation, visualization, and machine-learning tools and commercial packages
  • Experience with big data : extraction, processing, filtering, and presenting large data quantities (100K to Millions of rows) via AWS technologies, SQL, and data pipelines
  • Experience one or more programming languages (e.g. Python, Java, C++, etc.)
  • Familiarity with some of the clustered data processing tools such as Hadoop, Spark, Map-reduce, and Hive
  • Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences.
  • PREFERRED QUALIFICATIONS

  • Ph.D. in Statistics, Mathematics, Engineering, Computer Science, or related analytical disciplines
  • Experience in developing machine-learning algorithms, statistical and mathematical optimization models, and simulation and visualization tools
  • Experience with ensemble models and with clustered data processing tools such as Hadoop, Spark, Map-reduce, and Hive
  • Experience with agile or scrum methodology
  • Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age

    BASIC QUALIFICATIONS

  • M.S. or equivalent in Statistics, Mathematics, Engineering, Computer Science, or related analytical disciplines.
  • Deep understanding of regression modeling, forecasting techniques, time series analysis, machine-learning concepts such as supervised and unsupervised learning, classification, random forest, etc.
  • Experience using statistical, simulation, visualization, and machine-learning tools and commercial packages
  • Experience with big data : extraction, processing, filtering, and presenting large data quantities (100K to Millions of rows) via AWS technologies, SQL, and data pipelines
  • Experience one or more programming languages (e.g. Python, Java, C++, etc.)
  • Familiarity with some of the clustered data processing tools such as Hadoop, Spark, Map-reduce, and Hive
  • Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences.
  • PREFERRED QUALIFICATIONS

  • Ph.D. in Statistics, Mathematics, Engineering, Computer Science, or related analytical disciplines
  • Experience in developing machine-learning algorithms, statistical and mathematical optimization models, and simulation and visualization tools
  • Experience with ensemble models and with clustered data processing tools such as Hadoop, Spark, Map-reduce, and Hive
  • Experience with agile or scrum methodology
  • Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age

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