Job Description

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