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25/10 Anuja
Senior Associate at OYO

Views:4379 Applications:220 Rec. Actions:Recruiter Actions:88

OYO Rooms - Data Scientist - Machine Learning - Dynamic Pricing (4-8 yrs)

Gurgaon/Gurugram Job Code: 758000

OYO is looking for data scientists to join us in Gurgaon.

As a Data Scientist your responsibility will be to help team with building automated algorithms, the end to end data products and business insights generations.

Role requires high technical aptitude, problem-solving abilities, motivation, intellectual curiosity, and a passion for data discovery. As a scientist you will be center of innovation for the company and a major contributor to the company's products and business.


- Closely working with the core team to design algorithms for pricing.

- Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance.

- Develop new technological ways for solving high-end problems with data science & analytics.

- Designs experiments, test hypotheses and build models.

- Works with different stakeholders to identify the business requirements and the expected outcome.

- Recommends ongoing improvements to methods and algorithms.


- Extensive background in data mining and statistical analysis.

- Able to understand and various data structures and common methods in data transformation.

- Deep understanding of statistical modeling (Regression, Clustering, Decision trees), machine learning, algorithms, data mining concepts, and a track record of solving problems with these methods.

- Experience with deep learning, SVM, k-nearest neighbors, random forests, ensemble methods, Logistic Regression, Probability Theory, Bayesian/Markov networks etc.

- Demonstrated programming skills in relevant languages, including R, Python, SQL etc.

- Optional Skills: Spark, Hive, Pig, d3, Ruby

- Graduate degree in computer science, operations research, statistics, physics, or mathematics is preferable

- 4+ years of related work experience

- Great communication skills

Women-friendly workplace:

Maternity and Paternity Benefits

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