Data Scientist 2

Data Scientist 2

Ola Cabs


Job Title – Data Scientist II

Location – Bangalore

Employment Type – Full-time

Reporting To –  Data Scientist III

About Us

Founded in Jan 2011 by IIT Bombay alumni Bhavish Aggarwal and Ankit Bhati, Ola (formerly Olacabs), is India’s most popular mobile app for personal transportation. Ola integrates city transportation for customers and driver partners onto a mobile technology platform ensuring convenient, transparent, and quick service fulfillment. Ola is committed to its mission of building mobility for a billion people. Using the Ola mobile app, users across 110 cities can book from over 6,00,000 vehicles across cabs, auto-rickshaws, and taxis. Ola has also introduced a range of shared mobility services on its platforms like Ola Shuttle and Ola Share for commute and ride-sharing respectively. The app is available on Windows, Android, and iOS platforms.

About Data Science

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.


Roles and Responsibilities

  • Ability to transform business requirements into data science formulations and implement the solutions in an efficient and scalable fashion
  • Building world-class statistical and machine learning models which will solve operational challenges
  • Working closely with Business Intelligence Engineers and developing the Machine learning expertise within the team by supervision.
  • Drive actions at scale to provide high-impact services using scientifically-based methods and decision-making and driving a low cost to serve.
  • Utilizing OLA systems and tools to effectively work with terabytes of data.
  • Providing inputs and recommendations on technical issues to Business Intelligence engineers.


Experience & Skills

  • B-Tech / B.E / M-Tech with major in Computer Science, Applied Mathematics, Operations Research, Statistics, Electrical or Systems Engineering, Physics or similarly highly quantitative field.
  • 4+ years of relevant experience in field of Data Science.
  • Proficient in Python
  • 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
  • Extensive experience in building production quality models using state-of-the-art technologies (for e.g. tensorflow, scikit-learn, spark)

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