Senior Applied Data Scientist

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 working alongside machine learning engineers.
  • 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.
  • You have experience with deep learning frameworks such as TensorFlow and PyTorch.
• . 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.
  • Experience with Spark, Sagemaker, S3, Athena.
  • Proficiency in Jupyter notebooks.