Role: Senior Data Scientist
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.
