We are India’s largest bike-taxi platform, steadily venturing into Delivery, Auto, Rental, and more. Currently present in over 100 cities, we are growing close to 500% year-on-year with steady funding. We have changed the concept of intra-city travel and made last-mile connectivity affordable to all. Along with being the #1 choice of 10 million people, we have also built a solid captain base of over 5 million registered captains, who have bettered their lives with Rapido. As an employer, we provide a lot of ownership to our team members providing multiple avenues for them to grow within the company. You will only grow with us with the right balance of ambition, fun, and transparent work culture!

• Working on dual-track science-centric roadmaps for cross-functional development and analysis teams
• Experiment track : Design implementable experiments which are hypothesized by looking at data or user research and arrive at decisions which can be implemented post successful or failure of these experiments. Drive user interviews yourself to gain additional insights and discover hidden problems
• Development track: Design value centric feature roadmap for the tech team which can eventually make use of models and outcomes validated by experiments
• Perform data analysis of the results of experiments and interpret the results in the users and business context
• Understand business challenges and goals to formulate questions for data analysis and model creation that will support their business decision making
• Work with data scientists to create models and frameworks that power products
• Collaborate with data engineers, to define the data lifecycle of your products including productizing data science and AI models

• Experience: 2-3 year of overall work experience in product, data or design
• Previous stint: Product Management (APM/PM/SPM) Professional or senior professionals in related fields who want to transition to product management, such as data science or product design
• Good understanding of Basics of statistics
• Proficient in SQL/Python and experience with analyzing metrics, good at understanding data
• Some experience with product design and development process
• Some experience with Agile, Lean, and Continuous Delivery best practices
• Some understanding of the methodologies and approaches used in scientific analytics process