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High growth: In just six years, we’ve reached milestones that take other companies a decade or more. We’ve doubled our employee count, tripled our customer count, and rapidly expanded our...
High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer...
Own and optimize the customer lifecycle communications for Gett’s B2C users, focusing on retention, re-engagement, and increasing rides and deliveries through multiple channels. Develop, execute, and continuously improve automated marketing...
Drive Program Success: Plan, execute, and monitor complex technical programs end-to-end. Own schedules, dependencies, and risk mitigation strategies. Lead and Motivate Agile Teams: Guide engineering and product squads through agile...
Solve diverse, complex problems at a large scale. Collaborate with Product Managers, data scientists and Software Engineers to deliver innovative, user-facing products. Independent - cradle to grave, own a feature...
High growth: In just six years, we’ve reached milestones that take other companies a decade or more. We’ve doubled our employee count, tripled our customer count, and rapidly expanded our...
Data Science Managers in Israel are responsible for creating meaningful and actionable insights from data in order to drive better decision-making and help improve customer experiences.
This position requires a creative and analytical thought process in order to explore, visualize, and discover valuable trends and patterns from a variety of structured and unstructured data. Data Science Managers should be able to effectively communicate their findings and recommendations to a range of stakeholders. Moreover, they should be able to apply machine learning models to draw precise results and further optimize the customer experience.
Ideally, candidates should possess a Master's degree in Computer Science, Applied Mathematics, Data Science, Statistics, or a related field. Additional qualifications include a minimum of three years' experience in data science and/or machine learning roles, as well as a solid foundation in machine learning techniques (e.g. supervised learning, unsupervised learning, deep learning, and NLP) and processes (e.g. testing and validating data, correlation analysis). Excellent problem-solving skills, strong written and verbal communication skills, and the ability to tell compelling stories with data are essential.
Ultimately, the Data Science Manager is responsible for driving the decision-making process with high-quality insights derived from data and machine learning models. If you're an experienced Data Science professional, Expoint is the platform for you. Here, you can apply for the most promising Data Science Manager roles in the country and start a rewarding career in the tech industry.