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Senior Data Analytics Leader

3 weeks ago

Manama, Manama, Bahrain SWATX Full time
Data Science Leadership Position

SWATX is looking for an experienced and results-oriented Senior Data Science Manager to oversee its data science initiatives. This key role involves driving the strategic direction and execution of data science projects across the organization, ensuring alignment with business objectives.

Job Overview:

This position requires a strong leader who can develop and implement a comprehensive data science vision, strategy, and framework that drives business growth. The ideal candidate will have a proven track record of successfully leading and delivering large-scale data science projects that drive business value.

Responsibilities:
  1. Develop and implement a data science vision, strategy, and framework that drives business growth.
  2. Lead a high-performing team of data scientists, fostering collaboration, innovation, and continuous learning.
  3. Drive the execution of strategic data science projects, ensuring alignment with organizational goals and delivery of actionable insights.
  4. Collaborate with stakeholders to identify opportunities for modeling and analytics that enhance decision-making and operational efficiency.
  5. Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges.
  6. Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies.
  7. Mentor team members to enhance their skill sets and career growth, providing opportunities for professional development.
  8. 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.
  • Preferred Certifications: Certified Data Scientist (CDS), Microsoft Certified: Azure Data Scientist Associate, Google Cloud Professional Data Engineer.