Gojek Hiring Drive 2024 For Data Scientist | Location Bengaluru

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Gojek Hiring Drive 2024: Gojek Hiring Drive 2024 for its Data Scientist. Gojek Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s or Master’s Degree in Computer Science, Statistics, Operations Research, or a related quantitative field. if you are interested, please apply as soon as possible.

Company Name: Gojek

Role: Data Scientist

Location: Bengaluru

Experience: 1-2 years

Qualification: Bachelor’s or Master’s Degree in Computer Science, Statistics, Operations Research, or a related quantitative field

Batch: Any

Job Type: Full Time

Salary: 29.0 LPA (Expected)

Gojek Hiring Drive 2024

Job Description:

  • Translate business concerns into technical problems that can be addressed using data science and machine learning techniques.
  • Collaborate with product managers, machine learning engineers, and business users to develop and deploy data science solutions.
  • Prototype and deploy data science models, ensuring they are scalable and maintainable in a production environment.
  • Partner with business teams to continuously improve systems to meet Gojek’s evolving needs.
  • Analyze large datasets to generate actionable insights.
  • Design and conduct experiments to measure the impact of machine learning models and product features in the Marketplace Team

Requirements:

  • Bachelor’s or Master’s Degree in Computer Science, Statistics, Operations Research, or a related quantitative field, with at least 1-2 years of relevant experience.
  • Hands-on experience with statistics, machine learning fundamentals, and proficiency in Python, SQL, and basic visualization tools.
  • Strong understanding of data science and machine learning fundamentals, with the ability to formulate solutions to business problems.
  • Ability to write clear and concise technical documentation.
  • Experience in taking data science models from development to production.
  • Competence in conducting independent analysis, including data manipulation, hypothesis formulation, and statistical analysis of experiments.

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