Data Scientist

What if you could build software that didn’t just scale, but transformed entire organizations? At Tactable, this is what drives us. We’re building a world-class cloud, data, and API engineering firm with a mission to power the most influential tech of tomorrow, through expert-led delivery, strong partnerships, and a relentless focus on quality. Founded by engineers who care deeply about people, process, and product, we go beyond just solving problems. We embed with clients, work across full project lifecycles, and operate at the speed of startups while upholding the rigor of enterprise-grade engineering. From financial institutions to emerging tech ventures, our work is behind some of the most mission-critical systems in production today, and we’re just getting started. With growing demand from top-tier clients and a strong runway for expansion, we’re building a team of curious, ambitious developers who want to build meaningful things with meaningful people. Take a look at tactable.io to learn more about our work and what sets us apart. The Role: Data Scientist We are looking for a Data Scientist to guide the ethical, transparent, and compliant development of AI systems, particularly LLM and RAG-based solutions. This role focuses on ensuring AI fairness, accountability, and trustworthiness through proactive governance, best practices, and continuous monitoring of production AI systems. What You’ll Do End-to-End Data Science + ML Development Establish and enforce Responsible AI frameworks to ensure fairness, transparency, and bias mitigation across all AI initiatives. Monitor and evaluate AI systems, including ongoing oversight of chatbot and LLM-based use cases to ensure performance, reliability, and compliance. Lead ongoing monitoring of the chatbot use case, ensuring that responses are coherent, contextually appropriate, and aligned with ethical and compliance standards. Develop and implement methods to assess response quality, perform online and offline monitoring, and calculate relevant statistics and performance metrics. Ensure compliance with data privacy regulations and internal governance frameworks. Detect and mitigate bias, harmful content, or hate speech in chatbot outputs. Develop and maintain prompt governance policies to ensure responsible use of prompt engineering techniques. Collaborate with technical and legal teams to perform risk assessments for data usage, model outputs, and content safety. Drive AI ethics education and awareness across teams, ensuring adherence to global Responsible AI principles. Monitor industry trends, frameworks, and compliance requirements to continuously improve AI governance practices. Technical Leadership Lead critical aspects of the ML lifecycle, from experimentation to deployment and monitoring. Build, test, and maintain predictive models and other ML components for diverse business domains. Contribute to or integrate with platforms like IBM Watson Next for enterprise-grade AI solutions. Build and maintain reusable components for feature engineering, model evaluation, and deployment. Mentor junior data scientists through code reviews, best practices, and collaborative experimentation. Create internal tooling and documentation to support scalable and reproducible science. Act as a data scientist who codes—contributing directly to production-level codebases. Client & Project Exposure Work directly with client product, engineering, and compliance teams to deliver robust, auditable AI solutions. Rotate across domains (e.g., finance, trading, enterprise tech) every 6–12 months, applying ML to diverse business problems. Lead greenfield modeling projects, legacy system modernization, and ML-driven product development. Act as a strategic partner, helping shape AI/ML product roadmaps and ensuring alignment with regulatory and ethical standards. What You Bring Must-Have Experience 7+ years in AI/ML strategy, governance, or applied data science, including 2+ years focused on Responsible AI, model evaluation, or LLM risk management. Strong understanding of Responsible AI principles, including fairness, accountability, transparency, explainability, and privacy. Hands‑on experience designing and implementing evaluation frameworks for RAG or LLM-based systems. Proven experience in AI use case development and ongoing monitoring of live chatbot or LLM systems. Familiarity with LLM evaluation and prompt governance frameworks (e.g., Ragas, TruLens, Giskard, OpenAI Evals) and chatbot quality metrics. Demonstrated experience with bias detection, compliance controls, and data privacy in production environments. Experience building predictive models and applying statistical and mathematical analysis to real‑world data problems. Strong programming skills in Python, including writing reusable libraries, functions, and classes. Deep understanding of LLM architectures, prompt engineering, and evaluation techniques. Strong background in statistics, mathematics, and critical thinking for data‑driven problem‑solving. Familiarity with ethical AI policy design, Model Cards, System Cards, and regulatory standards such as the EU AI Act or NIST AI RMF. Excellent technical problem‑solving abilities and experience working across cross‑functional AI/ML teams. Bonus Points For Exposure to advanced agent‑based AI systems or orchestration tools (e.g., Semantic Kernel, Haystack). Familiarity with Agile/Scrum practices and tools like Jira and Confluence. Awareness of AI governance, bias mitigation, and Responsible AI frameworks. Why You’ll Love This Role Growth‑First Culture: From custom career paths to project rotation, we design roles around your goals, not just business needs. Full Ownership & Impact: You’ll own critical parts of delivery, architecture, and technical decision‑making. No red tape, no silos. Tight‑Knit Team: We’ve built a culture of trust, collaboration, and curiosity. Whether it’s team lunches, hack days, or a new internal tool, we move as one unit. Real Work, Real Users: We’re not building MVPs that sit on a shelf. You’ll work on systems that millions rely on, every day. Flexibility with Structure: We’re a hybrid‑first team with a strong appreciation for in‑office collaboration, especially at our downtown Toronto HQ. We encourage in‑person presence to foster mentorship, connection, and collaboration. Why This Might Not Be a Fit You’re looking for narrowly scoped responsibilities or long‑term focus on a single domain. You prefer a rigid hierarchy with formal titles and isolated workstreams. You’re more comfortable in a vendor‑style delivery model than deep technical partnerships. Salary Range: Competitive and flexible, based on experience and fit for the role. Comprehensive health and dental plan. Generous PTO and holidays. Laptop & home office equipment provided. Career coaching and personalized development plans. Regular social events, team outings, and wellness activities. Ready to Build the Next Generation of Data Infrastructure? No cover letter required. Just apply, and let’s start building. Seniority level Mid‑Senior level Employment type Full‑time Job function Engineering and Information Technology Software Development Referrals increase your chances of interviewing at Tactable by 2x. Get notified about new Data Scientist jobs in Toronto, Ontario, Canada. #J-18808-Ljbffr