What We Are Building:
At Rubikloud, we are on a mission to bring Intelligent Decision Automation to the worlds largest enterprise retailers. Our platform unifies the latest in distributed systems, artificial intelligence, cloud architecture & some of the brightest minds to fulfill our mission. Over the past three years, we have been able to connect with over 150,000 retail point of sales location in 10 countries & create a database of over $100 billion in first party retail transactional data. And the numbers are only growing!
Who We Are Looking For:
All aspects of building data science products are familiar to you: wrangling with messy or missing data, feature engineering, prototyping statistical/machine learning models, & coding up an appropriate solution thats fit for production. You are driven by the thought of solving real-world business problems & a practical mindset using the more appropriate technique for the problem, whether that be a simple linear regression or a LSTM.
Youre 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. Youre fluent in Python, have run more SQL queries than you would like to admit, & have hands-on experience with big data technologies such as Spark & Hadoop. You get the Frequentist vs. Bayesian jokes on xkcd (and love explaining it), can comfortably explain the difference between a random forest & gradient boosted trees, & are always willing to get your hands dirty analyzing the minutiae in the data.
As an effective communicator, youll collaborate with other like minded individuals to come up with creative solutions to our retail data science problems interfacing across all departments & teams. Your primary focus is on providing meaningful impact to our clients, which requires asking the right questions, distilling the problem & coming up with creative solutions.