OBS! Ansökningsperioden för denna annonsen har
passerat.
Arbetsbeskrivning
About the role
At Shopify, we empower 1,000,000 entrepreneurs all over the world. We're looking for hard-working, passionate people to help us make commerce better. For over 10 years we have been super driven when it comes to using data insights to help drive our product direction and make things better for our merchants.
At Shopify, we recognize that after our people, our most important asset is our data. With over 10+ years of aggregate ecommerce data, we are driven by the potential insights that our data can provide. Our 1,000,000 merchants process over $72 billion in gross merchant volume through our platform, and depend on us to deliver insights that enable them to grow their business. The Data Science & Engineering team acts as the impact multiplier for Shopify’s product teams, putting over 11 petabytes of data to work to make our merchants more successful. From delivering merchandising insights, to optimizing shipping and processing rates, to reducing credit card fraud, to ad campaign recommendations - our Data Scientists deliver solutions from pipeline to platform via an array of open source tools.
Tictail was founded in Sweden in 2012 and was wholly acquired by Shopify in 2018.
You’ll need to have:
Understanding of dimensional modelling concepts and database design/architecture or experience with feature engineering both at model build and in production
Experience with statistical methods like regression, GLMs, clustering, experiment design, including sampling and multi-armed bandit approaches, shipping productionized machine learning systems at scale and other predictor or classifier models
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
Extensive experience analyzing data using SQL
Exposure to Tableau, QlikView, Mode, Matplotlib, Jupyter, or similar data visualization tools
It’d be nice if you had:
Strong background in machine learning including experience implementing models at scale (from Random Forest and GBMs to RNN/CNNs)
Knowledge of digital marketing and traditional media data and metrics
Previous experience using Spark (esp. via Python or Scala)
At Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.