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Who are we and Why Yulu for you?Yulu's vision is to reduce traffic congestion by providing a scalable, affordable, efficient and clean solution for the first mile, last mile and short distance commute. We strongly believe that short commute mode can be made more Efficient, Affordable and GREEN, thereby ensuring that future generations will have a healthy environment to live. We want to replace big personal vehicles with a smaller form factor that does not require fossil fuel. Yulu uses IoT technology to create a vast network of shared bikes that can be rented easily by user-friendly app in pay per use business model.We are a mission driven company based out of Bangalore with a solid founding team and big ambitions. At Yulu we believe that every day is a mission and success is exciting when its attained with fun and as a team. If you want to solve the problem of traffic congestion, reduce pollution, positively impact the society and be part of an international dynamic team, join us in our journey to shape better India for our future generations.Responsibility Collaborate with members from a variety of teams to improve decision making and boost performance across the company Evaluate, adapt new and improved data storage and analytics approaches with the vision of creating innovative data driven insights at the quickest pace possible Develop new ways for modeling and predicting commute patterns as well as summarize, visualize and present key findings with all stakeholders. Skills required Problem solving using Supervised & Unsupervised algorithms in scikit-learn and TensorFlow Experience programming in Python and data-wrangling using Excel, SQL, Pandas and Jupyter notebook Experience using Apache Spark, Apache Kafka and relevant Big Data tools Experience working with Timeseries and Geospatial datasets would be wonderful Good understanding of statistics to help make decisions and design/evaluate experiments Experience & Qualification 2+ years of real-world Data Science experience Bachelor's in Computer Science or in a relevant field
