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Data Scientist

Data | Toronto, Ontario, Canada | Full Time

Job Description

Shopkick is on a mission to bring delight and reward to the consumer shopping experience. As part of the Trax Retail family, we are a pre-IPO unicorn looking to accelerate our growth trajectory as we partner with major brands and retailers, ranging from H&M and Unilever to Best Buy and Purina, to transform the way people engage with stores and products, both online and in the physical world.


What we are looking for

We are in search of a detail-oriented Data Scientist to join our Analytics & Data Science team. If obscure Python packages permeate your dreams, or you view your life as a series of complex joins, then this might be the role for you. You will be responsible for supporting our various product, marketing and business teams in making better decisions. 

 

What you’ll be doing

Essential duties and responsibilities may include, but are not limited to:

  • Develop learning plans, recommending analytics approaches to address questions or validate hypotheses, working with product and business owners

  • Work with the business stakeholders, to define actionable reporting and visualization requirements

  • Implement and scale the tools, systems and processes for delivering data and insights to stakeholders & leadership

  • Take the initiative to find patterns and propose experiments against core product, marketing and business goals

  • Be a steward of experiment design, analysis and reporting by standardization of success metrics and setting up process 

  • Scale up experimentation by either looking at external platforms or by driving changes to the internal experimentation platform

  • Use 1st party data to deep dive into user behavior, that could be productized in the form of Audience Insights, Behavioral segments for Ads Targeting, Personalized user experiences

  • Be an SME and evangelist for using advanced data science modeling to create data products to drive growth for the business

Some cool projects we are working on currently or are planning to, in 2020, include: 

  • Build a predictive churn model, to identify users at risk of attrition and proactively mitigate the risk

  • Upgrade our Life Time Value (LTV) model based on the above improvements

  • Build user segments based on app behavior, as well as purchase/shopping behavior to create Audience Insights & Behavioral segments


Who we are looking for

You are innately curious, a self-starter and multi-tasker. You believe in “Done is better than Perfect”, but also strive to produce the best work possible, in everything you do. You are adept at navigating through organised chaos by approaching things with a logical and analytical mind, using process where needed, while not letting it stall progress if you face blockers. You are a good storyteller, and are able to communicate effectively using oral, written & presentation mediums. In addition, you: 

  • Have the confidence to make quick decisions & the courage to fail forward in doing so

  • Have 4+ years of experience as a marketing or growth data analyst. Experience with both consumer and advertising technologies is a big plus

  • In depth knowledge of inferential statistics and experimentation design and analyses

  • Have the ability to teach a masterclass in query writing and data visualization, with an emphasis on choosing the best approach and tools for the job

  • Have experience writing complex queries on Google Cloud Platform (GCP) is a big plus

  • Are comfortable working in scripting languages such as Python and R

  • Have a strong understanding of hypothesis testing and experiment design

  • Have a Bachelor’s degree in Statistics, Mathematics, Economics (quantitative) or equivalent

  • Have awesome stories to tell of the impact you have had on other products and businesses in your career

Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Shopkick are considered the property of Shopkick and are not subject to payment of agency fees.