• OYO Rooms - Business Analyst Jobs in Delhi Ncr - 24759417

  • OYO Rooms
  • Delhi Ncr
  • Save Job
  • 1 - 4 Years
  • Posted : above 1 month

Job Description:

Some of the attractive pluses of the job are

- The opportunity to work with a world-class team of talented data scientists with a strong background in machine learning, and who are extremely passionate about solving real-world applied problems in the hospitality industry

- A real opportunity to expand your skill-sets and a chance to learn and use the latest advances and approaches in data science and data mining on real-world datasets

- Working at a fast-paced work environment where you are expected to be self-motivated and are measured on your performance

Job Responsibilities

- Ability to understand a problem statement and implement analytical solutions & techniques to come with the solution

- Work and collaborate with other teams to deliver the result best suited to drive revenue of the company

- Fast learner ability to learn and pick up a new language/tool/ platform quickly

- Conceptualize, design and deliver high-quality solutions and insightful analysis

- Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture

Experience Required

- Expert level proficiency in SQL and at least one of R and Python with 1- 3 years of experience

- Ability to discover efficient solutions to complex problems

- Strong skills in data structures and algorithms - Preferred

- Problem-solving Ability to break the problem into small problems and think of relevant techniques which can be explored & used to cater to those

- Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms, you will be required to discuss and use various algorithms and approaches on a daily basis - Preferred

Education Qualification

- BTech / MTech in Computer Science / Mathematics / Signal Processing or related fields

Profile Summary:

Employment Type : Full Time
Salary : Not Mentioned
Deadline : 02nd May 2020

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