Purpose of the role:
- The Data Sciences team is responsible for solving a wide variety of problems across areas of Consumer, IOT systems, Fulfillment, and Operations, leveraging techniques that fall broadly in Estimation, Predictive Modeling, and Optimization. Examples include: Use sensor data and customer feedback to determine a reliability score for a bike; optimize bike placement using ground operations team, in order to better match supply and demand.
- We are looking for a Data Scientist to provide end-to-end solutions to key projects, starting from data analysis and problem formulation, to designing and implementing the solution to achieve business impact
List of requirements:
- 3-12 years of experience in building modeling and optimization systems
- Familiarity with tech stack - R/Python, SQL
- Good knowledge of Machine Learning and Optimization techniques, along with sound fundamentals - Probability, Algorithms
- Ability to take up complex, open-ended problems, and find suitable solution structures
- Ability to communicate and present with clarity and conviction
List of Responsibilities:
- Provide end-to-end solutions to specific projects in Consumer, IOT systems, Fulfillment, Operations
- Work with Business, Product and Engineering stakeholders to frame the problem, available levers, and solution structure
- Perform data analysis to understand the behavior of the target system
- Design a suitable solution framework, balancing the short term and long term requirements
- Implement the solution and integrate it with the production systems
- Determine the impact through suitable A/B testing frameworks
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