Machine Learning Engineer, PreWarp

• BS/Masters in Operational Research, Computer Science, Applied Mathematics, Machine Learning, Statistics or a related field
• Proficiency in the Python data science stack and optimisation tool APIs
• A working knowledge of optimization methods accompanied by associated expertise in the use of tools and the latest technology (CPLEX, OR Tools, Gurobi)
• Experience applying forecasting and data mining techniques in an industrial setting
• Computer Science fundamentals in algorithm design, complexity analysis and data structures
• Ability to communicate complex technical concepts and solutions to all levels of the organisation

Desirable

• Prototype, test and productionise time-series forecasting and optimisation models for our customers
• Honing our markdown discount optimisation system to help our initial customers maximise revenue while minimising liquidation stock
• Generalise and productionise this markdown decision support system to minimise integration time with future customers
• Optimise in-season promotions to maximise inventory utilisation while minimising waste and stock outs
• Design and implement an in-season inventory rebalancing system
• Work with previewing data to optimise new product launches impacting pricing, inventory allocation, marketing spend and visual merchandising decisions
• Create an ML platform to improve our ML and optimisation capabilities
• You'll be working alongside our CTO, leading academics from MIT, Harvard and UCL, as well as the engineering team