Data Science Manager

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us. Responsibilities: • Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling. • Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes. • Oversee the design and implementation of innovative data science projects that drive value for the organization. • Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency. • Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights. • Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results. • Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels. • Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate. Requirements • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. • Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position. • Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries. • Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques. • Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively. • Excellent project management skills and ability to prioritize tasks in a fast-paced environment. • Strong analytical and problem-solving skills with attention to detail. • Exceptional communication skills, both verbal and written, in English and Arabic. • Proven capability to drive collaboration across teams and influence senior stakeholders. Preferable Certificates: • Certified Data Scientist (CDS) • Microsoft Certified: Azure Data Scientist Associate • Google Cloud Professional Data Engineer