Senior Applied Data Scientist

3 weeks ago

Vancouver, Canada Jungle Scout Full time

We’re growing and we are looking to add a Senior Applied Data Scientist to our fast-paced and customer-oriented Engineering team.

Location: We’re a remote-first company and looking to hire this person anywhere between the PST - EST timezone in Canada.

Interested in learning more? Let’s get into the details:

In this role, you will:

  • Use large-scale data to create and deliver data, models, and insights to brands that are looking to grow their business on Amazon
  • Create new analytical products and see them from conception to prototype to scaling in production
  • Work hands-on to perform analysis, build machine learning pipelines, and evaluate the performance of your solution in production
  • Be embedded with an engineering team to develop and scale successful solutions to production
  • Scope and define new business problems in the area of Amazon competitive intelligence, including market, traffic, and advertising analytics.
  • Support existing machine learning systems that serve millions of predictions per day

You will excel in this role, if you have:

  • This isn’t your first rodeo
    • You have a minimum of 5+ years of professional industry experience or equivalent with a Master’s or PhD.
    • You are skilled in machine learning best practices with a strong statistical background.
    • You have experience conceptualizing, building, and deploying algorithms and models to production independently.
    • You have experience translating customer needs to data problems.
    • You have experience working in the software development lifecycle using version control, CI/CD, and multiple environments.
  • A strong toolbelt
    • You have a strong command of SQL.
    • You have technical skills in Python, Spark, Sagemaker, S3, Athena, Postgres, Docker.
    • You are proficient in Jupyter notebooks.
    • You have experience with deep learning frameworks such as TensorFlow and PyTorch.
  • #clarity. Experience presenting clear analysis and conclusions to a wide variety of stakeholders.
  • Interest in Amazon. Deep curiosity about data and the Amazon domain.
  • Resilient & Adaptable. Comfort dealing with ambiguity, making tradeoffs, and adjusting your plans as you learn.
  • Bonus: Experience with other AWS services like EC2 and Cloudwatch.
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