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# Data Scientist, Early Career (Canada)

- **Company:** Jobright Inc.
- **Location:** United States (Remote available)
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, Data Mining, Human-Computer Interaction, Python (Programming Language), Machine Learning, Natural Language Processing, Recommender Systems, Tensorflow, SQL Databases, Feature Engineering, Pytorch, Large Language Models, Multi-Agent Systems, Prompt Engineering, Scikit Learn, Information Technology, Data Pipelines, Software Library
- **Published:** July 8, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/p34ksawplc

## About the Role

Required

 * Recent graduate or entry-level professional (0-2 years of experience) with a degree in Data Science, Computer Science, Statistics, or a related quantitative field

 * Strong programming skills in Python and proficiency with machine learning libraries such as PyTorch, TensorFlow, or Scikit-learn

 * Practical understanding of LLM architectures, prompt engineering, and the evaluation of generative AI outputs

 * Excellent communication skills with the ability to articulate technical methodology and complex modeling results to the broader team

Preferred

 * Previous internship or research experience focused on Natural Language Processing (NLP), autonomous agents, or recommendation systems

 * Experience building and maintaining data pipelines and working with cloud infrastructure (AWS/GCP/Azure)

 * Strong technical foundation in SQL and database management for efficient data extraction and feature engineering

## Description

* Develop and deploy predictive models and machine learning algorithms that power the core logic of our production AI agents

 * Experiment with and optimize Large Language Model (LLM) prompts, fine-tuning techniques, and RAG pipelines to improve agent performance and reliability

 * Perform deep-dive statistical analysis on user interaction data to identify patterns that drive product improvements and feature innovation

 * Monitor model performance and provide technical support during critical product iteration cycles


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