What We Are Building:
At Rubikloud, we are on a mission to bring “Intelligent Decision Automation” to the world’s largest enterprise retailers. Our platform unifies the latest in distributed systems, artificial intelligence, cloud architecture and 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 and 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, 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.
Who You Are:
- Masters/PhD degree or equivalent in Computer Science, Engineering, Mathematics or related field
- Experience managing, growing and developing a technical team
- Proven track record of leading a team of data scientists and/or engineers to ship large, complex machine learning systems/applications
- Strong familiarity with various machine learning & statistical techniques
- Ability to communicate clearly with technical and non-technical stakeholders at all levels
- Proficiency in Python and common data manipulation and ML libraries
- Experience working with relational data via SQL; experience with big data technologies such as Spark and Hadoop is a plus
Who We Are:
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.
Thank you to all who apply. We are only contacting applicants who are moving on to the next stage of the process. If you don’t hear from us, please check back for any future opportunities!
Rubikloud welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process.