Leverage data to drive strategic and operational decisions across our ecosystem.
Lead complex analytical projects, mentor junior data scientists, and collaborate with cross-functional teams.
Design and implement sophisticated statistical and machine learning models.
Partner with senior stakeholders to understand business objectives and translate them into actionable data insights.
Develop and enforce data governance and quality standards.
Design and execute A/B tests and other experimentation methodologies.
Create high-impact visualizations and dashboards.
Stay abreast of the latest trends and advancements in data science.
Requirements
Master’s in Data Science, Statistics, Computer Science, Mathematics, or a related field. Advanced academic qualifications are highly desirable.
5-7 years of experience in data science or a related field, preferably within the on-demand services or technology industry.
Expertise in programming languages such as Python, R, or Scala, as well as proficiency with data manipulation and visualization libraries (e.g., pandas, NumPy, matplotlib, seaborn).
Understanding of statistical concepts and techniques, with experience applying them to real-world problems.
Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences.
A passion for learning and innovation, with a desire to stay ahead of the curve in the rapidly evolving field of data science and technology.
Experience with ride hailing, quick commerce or food delivery domain would be a bonus.
Experience working with unstructured or semi-structured data and human-in-the-loop data operations would be a bonus.
Experience with distributed systems would be a bonus.
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