All aspects of building data science products are familiar to you: wrangling with messy or missing data, feature engineering, prototyping statistical/machine learning models, and coding up an appropriate solution that’s fit for production. You are driven by the thought of solving real-world business problems and a practical mindset using the more appropriate technique for the problem, whether that be a simple linear regression or a LSTM.
You’re a quick learner able to adapt to a myriad of challenges that come up in a data science project whether that be digging into a dataset to perform feature engineering, zooming into details of Scikit-learn algorithm implementation, or designing an experiment to test the efficacy of a new collaborative filtering algorithm. You’re fluent in Python, have run more SQL queries than you would like to admit, and have hands-on experience with big data technologies such as Spark and Hadoop. You get the Frequentist vs. Bayesian jokes on xkcd (and love explaining it), can comfortably explain the difference between a random forest and gradient boosted trees, and are always willing to get your hands dirty analyzing the minutiae in the data.
As an effective communicator, you’ll collaborate with other like minded individuals to come up with creative solutions to our retail data science problems interfacing across all departments and teams. Your primary focus is on providing meaningful impact to our clients, which requires asking the right questions, distilling the problem and coming up with creative solutions.
We are a group of intellectually curious people who are passionate about making a big splash in the world of retail. We offer competitive compensation including equity options - we want all the members of Rubikrew to own part of the Company. You will have a full health benefits package including extended health care, dental, vision etc. Lunch is catered Monday to Thursday so you won’t have to worry about packing a lunch! Healthy snacks and drinks are also provided to keep you energized. We want our employees to feel like they’re always developing personally and professionally so we offer a a personal development budget that you are free to use for knowledge expansion or as a fitness allowance.
Large scale enterprise software is going through a 10-year disruption. AI will be embedded into every major business process and piece of enterprise software.
Based in Toronto, Canada, our full stack, cloud-native machine learning platform and two flagship AI applications (Promotion Manager & Customer LifeCycle Manager) automate and improve mass promotional planning and loyalty driven marketing for our multi-billion dollar retailers.
We believe that making intelligent decisions can be made easier with AI and today we have multi-billion-dollar clients with retail brands operating in North America, Europe, and Asia.