Senior Data Scientist

On-siteSeniorData Scientistposted 1mo ago

✦Role summaryAI-generated

This Senior Data Scientist role at Air Arabia focuses on leading high-impact data science projects in Colombo, Sri Lanka, driving business outcomes through advanced modeling and cross-functional collaboration. The ideal candidate will mentor junior team members while delivering scalable, experimentation-backed solutions to shape strategic decision-making.

Skills required

Machine learning Advanced analytics Experimentation design Data modeling Scalable solutions Data driven decision making Mentorship Cross functional project management Data science Data engineering Statistics

About this role

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