Senior Data Scientist

Rockstar • Toronto, ON

53d • $115,000 - $140,000 • Hybrid

About The Position

Rockstar is recruiting for a mission-driven AI company that is dedicated to resolving economic inequality by helping more people access better jobs faster and more affordably, with a special focus on those facing barriers to opportunity. The company's AI-powered platform brings efficiency and insight to workforce development, replacing outdated systems and unlocking human potential at scale. They are a dynamic, high-performing team motivated by meaningful impact.
Join the Data team!
High velocity, high intensity, high trust, high bar, high impact, and a will to win.
If those words resonate deeply, this could be a next career move. They are seeking someone who leads with humility, pursues audacious goals, and is motivated by meaningful impact on people and the world.
The core mission is to help more people get to better jobs faster and cheaper, with a specific focus on those facing barriers to opportunity. The work helps resolve the growing issue of economic inequality, ensuring that no one is left behind in the future of work. The AI-powered platform brings efficiency and insight to workforce development, replacing outdated systems and unlocking human potential at scale.
Ready to make an impact? Apply today.
Important note: Data shows that men typically apply when meeting 3/10 requirements, while women often wait until it's 10/10. They encourage you to apply if you see a strong (not necessarily perfect) fit.
Your Role
They are seeking a Data Scientist to join the team. Do you love working in machine learning pipelines with big data from day one? Do you have hands-on experience in state-of-the-art NLP (e.g., transformers, BERT, few-shot learning, fine-tuning) and information retrieval (e.g., vector-based semantic search, reranking, hybrid search)? Do you want to continue to work at the frontier of advanced ML and NLP, at a mission-driven startup where they love what they do? If this sounds like you, this might be a dream job!

Requirements

• 5+ years of combined experience in industry and/or graduate-level research.
• Proficiency training and evaluating ML and NLP models using both structured and unstructured data with reproducible results.
• Expert-level programming and software engineering skills and a track record of delivering re-usable and well-documented code.
• Practical knowledge of using LLMs to accelerate model development, for example through synthesizing training data or automating evaluation.
• Proven ability to own a problem space from 0 to 1, translating vague business problems into production models.
• Comfortable navigating ambiguity and working with competing priorities.
• Strong communication skills to present models and actionable insights to stakeholders with varying levels of technical expertise.

Nice To Haves

• Specific examples of recommendation systems, taxonomies, or AI agents that you have built.
• Experience with data engineering, analytics, dashboards, or BI tools.
• Experience with A/B testing or causal analysis.
• An economics or social sciences background, especially any experience analyzing or modeling labor market data.
• Recognized expertise through publications, conference talks, open-source software releases, or other public artifacts related to state-of-the-art tools, models, and techniques.

Responsibilities

• Recommender Systems: Ensuring the product makes high-quality recommendations to both job seekers (as a “GPS” for their careers) and employers (as a “talent radar”).
• Taxonomies: Using data and AI to model and make sense of the evolving landscape of skills, occupations, and careers in a changing labor market.
• Agentic AI Solutions: Prototyping and evaluating new AI-powered functions for job seekers, employers, and case workers.
• Data Science Strategy: You will serve as an advisor and expert on strategy and roadmap decisions, evaluate major developments in the field, and ensure they are using state-of-the-art techniques.
• Mentorship/Leadership: You are a dedicated mentor and can serve as tech lead, assisting with the quality, rigor, and acceleration of projects and tasks.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed