Data Science Engineer Intern - Los Angeles, CA

Only for registered members Los Angeles, CA, United States

16 hours ago

Default job background
$46,000 - $82,000 (USD) per year *
* This salary range is an estimation made by beBee
Company Description · GenPark leverages intelligent Brand Agents and User Agents to empower brands in connecting with global Gen Z consumers more effectively. Through the use of personalized AI-generated content, interactive Agents, and immersive AI video experiences, GenPark enh ...
Job description

Company Description

GenPark leverages intelligent Brand Agents and User Agents to empower brands in connecting with global Gen Z consumers more effectively. Through the use of personalized AI-generated content, interactive Agents, and immersive AI video experiences, GenPark enhances audience engagement while reducing customer acquisition costs. Our AI-native system continually learns from user behaviors and feedback, allowing for smarter matching between products, services, digital assets, and consumers worldwide. GenPark stands out as a cutting-edge platform, reshaping how brands approach modern marketing strategies.

Role Description

This is an internship position for a Data Science Engineer Intern located in Los Angeles, CA, with a hybrid work structure allowing some remote work. The intern will assist in designing and implementing data pipelines, managing and optimizing data models, and contributing to Extract, Transform, Load (ETL) processes. Additional responsibilities include supporting data analytics and data warehousing initiatives, while collaborating with team members to deliver innovative solutions for data-driven decision-making.

Qualifications

  • Proficiency in Data Engineering and familiarity with building robust data pipelines.
  • Experience in Data Modeling and structuring data for efficient storage and retrieval.
  • Knowledge of Extract, Transform, and Load (ETL) processes and their application in real-world scenarios.
  • Understanding of Data Warehousing principles and techniques.
  • Ability to apply Data Analytics to interpret and derive insights from complex datasets.
  • Strong problem-solving skills and an aptitude for working collaboratively in a team.
  • Currently enrolled in or recently graduated from a degree program in Data Science, Computer Science, or related technical field.


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