Senior Data Scientist
Air Arabia ·
- Seniority
- Senior
- Category
- Data science
- Experience
- 6+ years
Air Arabia is hiring a Senior Data Scientist in Colombo to lead end-to-end delivery of complex data science initiatives — defining modeling strategies, designing experiments, and ensuring production ML performance in partnership with Data Engineering and ML Platform teams, while mentoring other data scientists.
Job Purpose
Responsible for leading complex, high-impact data science initiatives, leveraging advanced analytics, machine learning, and experimentation to drive business outcomes. Shapes modeling strategies, delivers scalable solutions, influences decision-making through data-driven insights, and mentors team members to enhance data science capabilities and best practices.
Key Result Responsibilities
- Lead end-to-end delivery of complex, cross-functional data science initiatives
- Define problem frameworks and modeling strategies for ambiguous challenges
- Design and guide experimentation approaches to drive decision-making
- Ensure scalability, robustness, and long-term value of solutions
- Work with Data Engineering teams to shape data models, define data requirements, and improve data reliability for advanced use cases
- Partner with ML Platform / Engineering teams to guide deployment strategies, ensure model performance in production, and support long-term lifecycle management
Key Result Responsibilities-Continued
- Mentor and guide data scientists, improving team capability
- Influence product, business, and strategic decisions through data insights
- Establish best practices in modeling, experimentation, and reproducibility
- Drive alignment across Data Science, Data Engineering, and ML Platform teams to ensure successful delivery and adoption of solutions
Qualifications (Academic, training, languages)
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field (or equivalent practical experience).
- Deep expertise in machine learning, statistics, and applied modeling
- Strong experience designing scalable and impactful solutions
- Advanced experimentation and analytical capabilities
- Strong problem-solving in ambiguous environments
- Strong understanding of production ML systems and trade-offs
- Ability to design solutions with deployment and lifecycle in mind
- Effective collaboration with engineering and platform teams
- Ability to influence architectural decisions related to data, modeling, and deployment in collaboration with specialized teams
Work Experience
- With 6-8 years of experience in data science, with a track record of delivering impactful solutions