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03/10 HR
HR at OLA Cabs

Views:654 Applications:178 Rec. Actions:Recruiter Actions:0

OLA - Data Scientist II - Data Science & Machine Learning Team (2-5 yrs)

Bangalore Job Code: 853320

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

- Extensive experience in building production quality models using state-of-the-art technologies (for eg, tensorflow, scikit-learn, spark)

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This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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