Job details
- Lead the strategic vision for harnessing data to refine and enhance logistics operations. This involves identifying key opportunities for process optimization, cost reduction, and service quality improvements, ensuring that data science initiatives are perfectly aligned with Talabat’s broader business goals.
- Champion the adoption of a data-driven culture within logistics operations, emphasizing the importance of basing decisions on rigorous data analysis and actionable insights. This includes promoting the use of advanced analytics and data science methodologies across all levels of logistics operations.
- Build and maintain strong collaborative relationships with key stakeholders across product, business, and engineering teams. Ensure that data science projects are integrated with and supportive of overall business strategies, fostering a cohesive approach to achieving Talabat’s objectives.
- Guide, mentor, and develop a highly skilled team of data scientists and data analysts. Set clear performance goals, facilitate professional development opportunities, and foster a supportive and innovative work environment that attracts top talent.
- Spearhead innovative data science projects , including the application of predictive analytics, machine learning models, and optimization algorithms. Focus on projects that have the potential to significantly impact logistics efficiency and customer satisfaction.
- Ensure the development and maintenance of a robust and scalable data infrastructure that supports advanced analytics and data science activities. This includes advocating for best practices in data governance, quality control, and compliance with relevant data protection regulations.
- Oversee the generation of insightful analytical reports and dashboards that track key performance indicators (KPIs) and provide strategic insights to both the logistics team and senior management. Ensure that these insights are actionable and contribute to informed decision-making processes.
- Serve as a key point of communication between the data science unit and both internal and external stakeholders. Translate complex data-driven insights into clear, understandable, and actionable recommendations for various audiences.
- Stay abreast of the latest trends and advancements in data science, logistics, and technology. Incorporate cutting-edge practices and tools into Talabat’s data science strategy to maintain a competitive edge and foster continuous improvement.
- Effectively manage resources and priorities to strike a balance between long-term strategic initiatives and immediate operational needs. Ensure that the data science team’s efforts are focused on projects with the highest potential for positive impact on Talabat’s operations.
- Design, implement, and manage experimental frameworks , such as A/B testing, to validate new ideas and measure their impact on logistics performance. Use these insights to guide continuous improvement efforts.
- Provide expert analytical support to cross-functional teams, assisting in the development of KPIs and goal-setting processes that align with Talabat’s strategic objectives.
- Lead by example to cultivate an environment of excellence and innovation within the data science team. Encourage creative thinking, continuous learning, and the exploration of new ideas to drive forward Talabat’s logistics operations.
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Hiring company
Talabat
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