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