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24/05 Nishma
Associate Consultant Recruitment at Bask HR

Views:41 Applications:12 Rec. Actions:Recruiter Actions:0

Data Scientist - Internet/Online (4-8 yrs)

Bangalore Job Code: 1100063

Data Scientist


Data Science 2 :


Job Description :

About this role :


- The Data Science & Machine Learning team works on building intelligent systems using techniques in machine learning, optimization, signal analysis, and statistics.

- At our company, 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.

Requirements :

- 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)

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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