Senior Data Science Manager

SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.

Responsibilities:

• Develop and implement the overall data science vision, strategy, and framework to align with organizational goals.

• Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning.

• Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights.

• Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency.

• Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges.

• Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team’s methodologies.

• Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth.

• Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies.

Requirements

• Master’s degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams.

• Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark).

• Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies.

• Proven track record of successfully leading and delivering large-scale data science projects that drive business value.

• Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses.

• Strong project management skills and ability to lead teams in a fast-paced environment.

• Excellent analytical and strategic thinking skills, with a focus on results.

• Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic.

Preferable Certificates:

• Certified Data Scientist (CDS)

• Microsoft Certified: Azure Data Scientist Associate

• Google Cloud Professional Data Engineer