Data Scientist

1 Week ago • 1-2 Years • Data Analysis

Job Summary

Job Description

This Data Scientist role involves translating business problems into data science and machine learning solutions. You will collaborate with product managers and engineers to prototype and deploy scalable models, analyze large datasets for insights, and design experiments to measure the impact of ML models and product features within the Marketplace Team, continuously improving systems to meet evolving business needs.
Must have:
  • Bachelor’s or Master’s Degree in Computer Science, Statistics, Operations Research, or related quantitative field
  • 1-2 years of relevant experience
  • Hands-on experience with statistics and machine learning fundamentals
  • Proficiency in Python, SQL, and basic visualization tools
  • Strong understanding of data science fundamentals
  • Ability to formulate solutions to business problems
  • Ability to write clear and concise technical documentation
  • Experience taking data science models from development to production
  • Competence in independent analysis, data manipulation, hypothesis formulation, and statistical analysis

Job Details

What You Will Do

  • 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

What you will need

  • 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.

About GoTo Group

GoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.

About Gojek

Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.

About GoTo Financial

GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.

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