Data Scientist

We are seeking a highly skilled Data Scientist with a strong computer science foundation to join a rapidly growing team. This role is ideal for someone who thrives on end-to-end ownership—designing, building, deploying, and continuously improving production-grade machine learning and AI solutions. You’ll work in a deeply collaborative environment where projects evolve over time and success comes from strong partnership, curiosity, and product‑minded thinking.

What You’ll Do

Own the full lifecycle of data science initiatives, from problem definition and modeling to deployment and monitoring in production

Design, develop, and deploy machine learning and AI models at scale, including GenAI and LLM‑based solutions

Build and manage robust data and ML pipelines, ensuring reliability, scalability, and performance

Lead and contribute to model evaluation, fine‑tuning, experimentation, and optimization efforts

Collaborate closely with Product, Engineering, and other business partners to translate ambiguous problems into impactful solutions

Apply product thinking to data science by helping stakeholders clarify objectives and iterating as needs evolve

Support marketing and commercial use cases, including SEO, ranking algorithms, recommendation systems, and marketing mix models

Act as a thought partner across the organization, proactively identifying opportunities where data and AI can drive growth

What We’re Looking For

3–5 years of experience in data science, machine learning, or applied AI, with hands‑on experience deploying models to production

Strong programming skills in Python and SQL

Experience with ML / AI frameworks such as scikit‑learn, TensorFlow, and PyTorch

Solid understanding of machine learning techniques, including supervised, unsupervised, and deep learning approaches

Proven experience running evaluations, selecting models, and fine‑tuning for performance and accuracy

Hands‑on experience with cloud infrastructure (AWS), containerization (Docker), and orchestration tools (Jenkins, Airflow)Strong understanding of MLOps concepts, including model monitoring, versioning, and lifecycle management

Experience deploying models via APIs (Flask, FastAPI) in real‑time and batch‑processing environments

Familiarity with agile development methodologies (Scrum, Kanban)

Excellent communication skills with the ability to explain complex technical concepts to diverse audiences

AI & GenAI Experience

Practical experience with GenAI and LLM technologies

Familiarity with tools such as Hugging Face, LangChain, OpenAI APIs, and vector databases

Experience with fine‑tuning techniques and evaluation strategies for LLM‑based systems

Bonus Points

Experience in e‑commerce, marketplaces, or high‑scale consumer platforms

Exposure to automotive data and applications such as pricing, inventory optimization, or recommendation systems

Contributions to open‑source AI / ML projects, publications, or presentations at industry events

Why This Role

This is a high‑growth environment with meaningful opportunities to take on increasing responsibility. If you’re excited about building impactful AI systems, influencing product direction, and growing alongside a company that’s scaling fast—this role was basically written for you.

Seniority Level

Mid‑Senior level

Employment Type

Contract

Job Function

Information Technology

Industries

IT Services and IT Consulting

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Toronto, Ontario, Canada CA$100,000.00-CA$105,000.00 2 weeks ago

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