Data Scientist, Early Career (Canada)

Jobright is a rapidly growing AI job search platform in the U.S. that is transforming job searches with its innovative technologies. They are seeking an Early Career Data Scientist to develop predictive models, optimize AI performance, and analyze user data to enhance product features. Why Join Us • Build real, production AI agents used by real users • High ownership and impact • Work at the intersection of AI, agents, and product • Shape how people experience AI-driven job search Responsibilities • 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 Qualification 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

Develop and deploy predictive models and machine learning algorithms to power production AI agents. Optimize LLM prompts and RAG pipelines while performing statistical analysis on user data to drive product innovation.

Requires a degree in Data Science, Computer Science, or a related quantitative field with 0-2 years of experience. Proficiency in Python and machine learning libraries, along with a practical understanding of generative AI and LLMs, is essential.

• SQLPreferred
• Machine learningPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Python
• PyTorch
• TensorFlow
• Scikit-learn
• LLM Architectures
• Prompt Engineering
• RAG Pipelines
• Statistical Analysis
• SQL
• Natural Language Processing
• Machine Learning
• Data Pipelines
• Cloud Infrastructure

• Data & Analytics
• Technology
• Software
• Engineering
• Science & Research

Minimum education

Bachelor’s degree

Minimum experience

0+ years

Posting language

English

Working hours

40 hours per week

Seniority

Entry level