OBS! Ansökningsperioden för denna annonsen har
passerat.
Arbetsbeskrivning
About the role
Do you get excited about all things Data? Are you looking for a role where you can see the tangible results of your work? If you're excited by solving hard, impactful problems and you have a passion for logistics then our Staff Data Scientist may be right for you.
Tictail was founded in Sweden in 2012 and was wholly acquired by Shopify in 2018.
Business growth relies on efficient logistics. Order management, fulfillment, shipping, and inventory represent some of the biggest costs for most businesses. The logistics data team applies a deep knowledge of statistical analysis and ML to help build powerful, approachable tools that are used by over 1M merchants in making great back-office decisions. At Shopify's scale, the flux of logistics data flowing through our system is immense. This brings great some opportunities to help our merchants, but also big challenges, as we support businesses big and small, around the world, wherever, whenever, and however they want to do commerce.
You will need to have experience with:
You have well built technical experience that inspires individual contributors creativity and innovation.
You have experience with product leadership and technical decision making.
You have been working closely with various levels of business stakeholders, from c-suite and down.
You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.
Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.
Experience creating data product strategies, shipping data products, iterating after launch, and trying again.
Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals.
It would be great, if you have:
Previous experience using Spark.
Experience with statistical methods like regression, GLMs or experiment design and analysis.
Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.