jobs in GenPark

GenPark Hiring! Full Time Data Science Engineer intern in - Ricebowl

Data Science Engineer intern

GenPark

Undisclosed

Singapore

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Working Location

  • Singapore

Job Description

Responsibilities

Company Description

GenPark is an innovative agentic discovery platform redefining global commerce by ushering marketing into the agent-first era. The platform leverages Intelligent Brand Agents and User Agents to analyze behavior and context, seamlessly connecting products, content, and experiences with the right audiences. Through AI-driven personalized content, interactive agents, and immersive video, GenPark empowers brands to more effectively engage and convert Gen Z consumers. Focused on innovation and efficiency, GenPark delivers cutting-edge solutions to meet the evolving demands of the digital and global marketplace.

Role Description

This is a full-time, hybrid internship role as a Data Science Engineer, located in Singapore, with some remote work flexibility. The intern will be responsible for assisting in the development and management of data pipelines, implementing data models, and performing Extract, Transform, Load (ETL) processes. Additional responsibilities include data warehouse development and conducting data analytics to support GenPark’s personalized AI-driven solutions. The role offers an excellent opportunity to collaborate with a dynamic team and tackle real-world challenges in an exciting, fast-paced environment.

Qualifications
  • Experience or knowledge in Data Engineering and building data pipelines
  • Ability to perform Data Modeling and work with database schema designs
  • Understanding of Extract, Transform, Load (ETL) processes
  • Familiarity with Data Warehousing principles and architecture
  • Strong skills in Data Analytics and deriving insights from large datasets
  • Proficiency in programming languages commonly used in data science, such as Python or SQL
  • Excellent problem-solving skills and attention to detail
  • Currently pursuing or recently completed a degree in Data Science, Computer Science, or a related field
  • Familiarity with cloud platforms and machine learning is a plus

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