As a Data Science Lead at KBZ Pay (Fintech) and KBZ Bank, you will play a crucial role in leveraging data-driven insights to enhance business strategies and decision-making processes. This role offers you the opportunity to lead a team of data scientists, machine learning engineers and collaborate with cross-functional teams to drive innovation and achieve business objectives. The role involves working with large datasets, implementing advanced predictive analytics, and contributing to the development of data-driven solutions. At KBZ Pay and KBZ Bank, we are committed to revolutionizing the fintech landscape through data-driven innovation. Your expertise will be instrumental in shaping this transformation.
1. Technical Leadership:
Foster and mentor: Cultivate a collaborative and high-performing data science team through effective coaching, development programs, and knowledge sharing.
Strategize and guide: Define the technical roadmap for data science initiatives, aligning with business goals and ensuring efficient resource allocation.
Champion best practices: Implement and enforce data quality standards, model governance principles, and secure development practices.
Drive continuous improvement: Evaluate team performance, identify opportunities for development, and implement process improvements for greater efficiency and impact.
2. Business Impact:
Translate data into insights: Collaborate with cross-functional stakeholders to analyse business needs, translate data into actionable insights, and drive data-informed decision-making.
Develop and deploy solutions: Design, build, and implement data-driven solutions that address key business challenges and optimize customer experiences.
Track and measure success: Monitor the performance of data science initiatives, evaluate their impact on business objectives, and optimize solutions for continuous improvement.
Communicate value: Effectively communicate the business value of data science to a range of stakeholders, both technical and non-technical.
3. Data Architecture and Infrastructure:
Optimize data pipelines: Collaborate with engineering teams to design and implement efficient data pipelines for data ingestion, transformation, and analysis.
Maintain and evolve data infrastructure: Manage and optimize the AWS-based data infrastructure, ensuring scalability, security, and compliance with best practices.
Champion new technologies: Evaluate and advocate for the adoption of new data technologies and tools that can enhance the team's capabilities and impact.
4. Continuous Learning and Innovation:
Stay ahead of the curve: Actively pursue learning opportunities to stay current with the latest advancements in data science, machine learning, and fintech trends.
Foster a culture of innovation: Encourage creativity and experimentation within the team, promoting the exploration of new data-driven solutions and approaches.
Share knowledge and insights: Organize knowledge-sharing sessions and actively contribute to the dissemination of data science best practices within the organization.