Senior Data Scientist
About the role
The Senior Data Scientist is responsible for leading complex and high-impact data science projects, utilizing advanced analytics, machine learning, and experimentation to drive business results. The role involves shaping modeling strategies, delivering scalable solutions, providing data-driven insights to influence decision-making, and mentoring team members to enhance overall data science capabilities. Key responsibilities include leading cross-functional initiatives, defining problem frameworks, designing experimentation approaches, ensuring solution scalability, collaborating with Data Engineering and ML Platform teams, and establishing best practices in modeling and experimentation. The position requires a strong background in machine learning, statistics, and applied modeling, as well as experience in designing and deploying scalable solutions in ambiguous environments.
Must have
- 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
- With 6-8 years of experience in data science, with a track record of delivering impactful solutions
Technologies
- Data Engineering
- Data Science
- Machine Learning
- Statistics