Jobright.ai

Early Career Data Scientist

Jobright.ai

Canada, Kentucky, United States · Full Time

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Experience
Up to 2 yrs
Salary
Openings
1
Posted
1 hour ago
Work mode
In office
Education
Data Science or related quantitative degree
Resume
Required to apply

Where you'll work

Job description

About the Role

Jobright.ai, a fast-growing AI job search platform in the United States, is looking for an Early Career Data Scientist to join their team in Canada. This role focuses on creating predictive models, enhancing AI efficiency, and analyzing user data to improve product functionalities. By joining, you will have an opportunity to develop and deploy real AI agents that impact users directly and influence how AI-driven job searches are experienced.

Key Responsibilities

  • Implement and deploy machine learning models and algorithms powering production AI agents.
  • Experiment with and optimize Large Language Model prompts, fine-tuning, and Retrieval-Augmented Generation pipelines to boost agent accuracy and robustness.
  • Conduct in-depth statistical examinations of user interaction data to uncover patterns that can inform product enhancements and innovative features.
  • Continuously monitor model performance and offer technical assistance during critical update phases of the product.

Required Qualifications

  • Recent graduate or professional with up to two years of experience holding a degree in Data Science, Computer Science, Statistics, or a related quantitative discipline.
  • Strong coding skills in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
  • Working knowledge of Large Language Model structures, prompt engineering, and methods for assessing generative AI outputs.
  • Excellent communication skills capable of clearly explaining technical approaches and complex modeling findings to a diverse team.

Preferred Qualifications

  • Internship or research background in Natural Language Processing, autonomous agents, or recommendation systems.
  • Experience in building data pipeline architectures and utilizing cloud platforms like AWS, GCP, or Azure.
  • Proficient in SQL and database management to efficiently extract data and develop features.

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