Closed listing
Data Scientist, Early Career (Canada)
- Canada
Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Full-time
- Experience
- 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
- Posting language
- English
- Posted
Similar jobs hiring now
Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
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
More about this job
Responsibilities
Develop and deploy predictive models and machine learning algorithms for production AI agents, and improve agent performance through LLM prompt optimization, fine-tuning, and RAG pipelines. Analyze user interaction data to guide product improvements, monitor model performance, and provide technical support during product iterations.
Requirements
Applicants should be recent graduates or entry-level professionals with 0–2 years of experience and a degree in Data Science, Computer Science, Statistics, or a related quantitative field. Required qualifications include strong Python and machine learning skills, practical knowledge of LLMs and generative AI evaluation, and the ability to communicate technical findings; experience with NLP, agents, recommendation systems, data pipelines, cloud infrastructure, SQL, or databases is preferred.
Skills
- Python
- Machine Learning
- Predictive Modeling
- PyTorch
- TensorFlow
- Scikit-Learn
- Large Language Models
- Prompt Engineering
- Retrieval-Augmented Generation
- Statistical Analysis
- Natural Language Processing
- Autonomous Agents
- Recommendation Systems
- Data Pipelines
- Cloud Infrastructure
- SQL
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Science & Research
- Engineering
Keywords
- Data Science
- Data Scientist
- Python
- Machine Learning
- Predictive Models
- Machine Learning Algorithms
- PyTorch
- TensorFlow
- Scikit-Learn
- Large Language Models
- Prompt Engineering
- Fine-Tuning
- Retrieval-Augmented Generation
- Statistical Analysis
- User Interaction Data
- Natural Language Processing
- Autonomous Agents
- Recommendation Systems
- Data Pipelines
- Cloud Infrastructure
- AWS
- GCP
- Azure
- SQL
- Database Management
- Feature Engineering
- Generative AI
- Model Evaluation