About Ola :
Ola is India’s largest mobility platform and one of the world’s largest ride-hailing companies, serving 250+ cities across India, Australia, New Zealand, and the UK.
The Ola app offers mobility solutions by connecting customers to drivers and a wide range of vehicles across bikes, auto-rickshaws, metered taxis, and cabs, enabling convenience and transparency for hundreds of millions of consumers and over 1.
5 million driver-partners.
Ola’s core mobility offering in India is supplemented by its electric-vehicle arm, Ola Electric; India’s largest fleet management business, Ola Fleet Technologies and Ola Skilling, that aims to enable millions of livelihood opportunities for India's youth.
With its acquisition of Ridlr, India’s leading public transportation app and investment in Vogo, a dockless scooter sharing solution, Ola is looking to build mobility for the next billion Indians.
Ola also extends its consumer offerings like micro-insurance and credit led payments through Ola Financial Services and a range of owned food brands through India’s largest network of kitchens under its Food business.
About this role :
The Data Science & Machine Learning team at Ola works on building intelligent systems using techniques in machine learning, optimization, signal analysis, and statistics.
At Ola, we have an incredible amount of data that captures a comprehensive view of our customers and driver partners. Very few companies in the world have this diversity and scale of data, and hence the breadth of problems available to solve in a data-driven fashion is immense.
We tackle real-life problems on a daily basis and not only get to impact company revenue but also deliver a richer experience to our customers and driver partners alike.
This requires us to be product driven while the complexity of problems requires us to always push the state-of-the-art. In fact, beneath every tap you make on our app, there is a data-driven, intelligent layer trying to achieve a business metric.
We are looking for great problem solvers who can tap into the potential of data and deliver scalable and robust data products.
Job Roles and Responsibilities :
PhD or Masters (with 2+ years of relevant experience) or BTech (with 4+ years of relevant experience), Operations Research, Applied Mathematics / Statistics / Econometrics, Electrical or Systems Engineering, Physics or similarly highly quantitative field.
Ability to transform business requirements into data science formulations and implement the solutions in an efficient and scalable fashion
Excellent interpersonal and stakeholder management skills
Ability to handle multiple projects as an individual contributor and / or as a mentor to team members
Proficient in Python, Scala, Java or similar languages.
Ability to be hands-on and mentoring people at DS I and ADS levels
Extensive experience in building production quality models using state-of-the-art technologies (for eg, tensorflow, scikit-learn, spark)