Our engineering team is passionate about bringing truly innovative products to the market, to build something, which solves a big problem in a way never done before. As a data scientist at Celect, you will be responsible for driving innovation by designing new algorithms to help optimize retail operations. You will collaborate with a talented and agile team of engineers and data scientists building the next generation of retail optimization based on machine learning and customer choice modeling. You will be exposed to scale of data, which will push the boundaries of innovation in the retail space, or all industries for that matter.
Develop novel statistical / machine learning approaches to real world, large scale problems
Work with massive scale retail data sets to derive statistical insights and develop innovative algorithms to productize these insights
Leverage the core choice modeling capabilities of the Celect Choice Engine and build new algorithms to assist retailers with their omni-channel optimization challenges.
- Masters degree / PhD in Computer Science and Electrical Engineering, Operations Research, Statistics, Mathematics, or related
- Experience with developing scalable machine learning solutions with high availability, internet-scale big data infrastructures
- Proficiency with at least one programming language (Python, C, Java, R, Matlab, etc.)
- Team player with a positive attitude who is interested in building a truly innovative product and great company