Hi Kevin, thank you for sharing – this seems like such an exciting opportunity. Tagging people who might be interested or who might know of people who are – Tarun Rishi, Kirill Tropin, Rolan Reichel, Lyndsay Noble, Chris Bracegirdle, Roland Szabo, Richard Saldanha

Hello All

I have a startup in the Diversity X Founders Community that is seeking to hire their first VP/Head of Data Science. Role specification below. If you are interested, or know someone who would be interested in exploring this amazing opportunity to join a startup that will be a 🚀, then message me with your details.

VP/Head of Data Science

As a Head of Data Science you will be responsible for building out and leading a team of Data Science and ML Engineers who will be responsible for our recommendation system.

You will help us build capabilities that take advantage of our data and help solve business problems. Initially this will include focusing on a hyper-personalised recommendation system that accurately recommends items based on a customers style profile, body metrics and previous order feedback. You will be an expert that shapes how we collect and use data in all our applications.

Things we look for:

– Someone who has extensive experience in Data Science from leading, designing and deploying applications to production.

– You have experience in leading Data and AI/ML teams

– You are strategic and are able to plan out road maps from concept to a finished product.

– You have experience working with various types of data and leveraging them to solve business problems by building technical solutions using your expertise in Data Science and ML tools/services.

– You have a solid foundation in data science and AI theories and are able to deploy in production environments

– You have good communication skills and able to simplify technical problems/solutions so business stakeholders are able to understand

– You are eager for a challenge and can work in a startup environment that is dynamic, fast paced and has vague requirements.

– Bonus if you have worked and built personalised recommendation products