Data Scientist

Our client is a Data Security Platform startup that protects sensitive data before it ever reaches an app, a pipeline, or an AI model.Their product is used by large enterprises across Finance, Insurance, Telco, and Healthcare to reduce risk, simplify compliance, and make exposed data unusable.They’re bootstrapped and have crossed the $15M ARR mark this year. The mission now is to enable data security in a world where Agentic AI tools are embedded within enterprise systems and have more access to private data than ever before.The Opportunity:
You will be the company’s first Data Scientist, reporting directly to the CTO and becoming a founding member of the AI team.You will build the AI-driven discovery and classification at the core of the product: ML and LLM-based classifiers, embedding similarity, behavioural models, and context-aware sensitivity detection.You will post train and fine tune open source LLMs to power agents in narrow security domains, taking models to production class precision.You will own models through the full lifecycle, from synthetic datasets to ensembles at scale, drift, and retraining.The Skills/Requirement Needed to Succeed:
You have built and shipped models to production across classical ML, deep learning, and LLMs.You have hands on experience post training and fine tuning LLMs with RL, SFT, and verifiable rewards.You have built behavioural, classification, or anomaly detection models. Fraud, threat detection, or data security (DSPM, DLP, CASB) experience is a strong plus.You have built production pipelines and served LLMs at scale.You are able to commute to an office in Mississauga 1 to 2 days a week. Fully remote will be considered for the right candidate.
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