Translator

You’re both business savvy and analytics proficient—able to frame a problem, shape a solution, and champion change. As a translator, you will be the link between the business and the data scientists, defining complex data-related requirements that bring strategic priorities to life for clients.

You have a degree in engineering or data science, as well as an advanced degree in business administration, statistics, or econometrics. In addition, you bring:

• experience working in a data-centric business environment
• an excellent ability to identify sources of value from data analytics across core business domains (such as marketing, risk, and operations) and to define paths realizing that value
• a deep understanding of fundamental machine-learning principles (for instance, training versus predicting, performance measurement, and overfit), as well as techniques such as random forests or neural networks
• familiarity with machine-learning technologies and tools, such as big data stack, Python, R, and visualization techniques
• strong communication skills and an ability to break down complex information into relevant and digestible points for both colleagues and clients
• excellent leadership skills, with a team-player attitude to drive the end-to-end implementation of use cases under time pressure