The leadership crew
Ephraim Goldin
The Israeli guru of data science and machine learning. Ephraim has founded Data Harbor in 2017 and GSTAT in 1999. He is world renown in the fields of churn prediction, next best action, customer segmentation and lifetime value, and has been advising to the largest organisations in the world.
Roee Stoler
Business leader. Roee served in leading roles in technology growing businesses and VCs, Head of Innovation at Sunrise (acquired by BGC), Adviosry Board at SignifAI (acquired by New Relic), Investor at Cloudability (acquired by Apptio). Technion and Cambridge University Alumni
Ronen Cohen
As former head of GSTAT Innovation Lab, Ronen has led dozens of projects within the big data analytics industry. Ronen has more than two decades of machine learning and data structures development and is leading the company innovation efforts in real time predictive analytics
Oz Mizrachi
VP Business Development
A savvy Data Scientist that's managed dozens of Big Data analytics projects for large enterprises. Oz has successfully executed complex sales processes and implementation, and is in charge of client's delight. He holds M.Sc in Financial Math and B.A in Economics from Bar Ilan University
Sharon Norman
Head of Solution Development
Sharon is a long distances​ runner with more than 15 years of R&D experience in the fields of analytics and big data analysis. A full stack development manager with proprietary algorithms development, big data structures and real time predictive analytics.She holds B.Sc in Bio-informatics and Computer Science
Careers and Partnerships
Working at Data Harbor is not only a rewarding and a challenging career, Data Harbor is at the centre of the big-data movement and the origin of many of the industry’s innovations and practices. When you join Data Harbor you gain access to the most sophisticated predictive analytics resource centre and solution lab in the market.
Data Harbor is constantly growing and we welcome new talents from leading academic institutions. Talk to us:
In 30min we'll demonstrate how can you make your data science workflow seamless and save months of hard work
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