Data Scientist

Job Title: Data Scientist

Location: Toronto, ON (hybrid/ three days onsite)

Duration: Long term Contract(12 months)

Rate: CAD60-CAD65/hr

Role Summary

We are seeking an experienced Senior Data Scientist to support the development and adoption of advanced analytics, machine learning, and Generative AI solutions. The successful candidate will leverage expertise in data science, AI/ML, and cloud technologies to design, develop, and deploy innovative solutions that solve complex business problems and generate measurable value.

Key Responsibilities

Data Science & Machine Learning

• Translate business objectives into analytical and machine learning solutions.
• Apply statistical, predictive, and machine learning techniques to solve business challenges.
• Develop and deploy end-to-end ML models, including feature engineering, model training, validation, and monitoring.
• Work with both structured and unstructured data to generate actionable insights.

Generative AI & AI Agents

• Design, develop, and implement GenAI solutions, including AI assistants, chatbots, and autonomous agents.
• Build and optimize Retrieval-Augmented Generation (RAG) solutions and intelligent search capabilities.
• Develop applications using modern GenAI frameworks and large language model (LLM) technologies.
• Implement prompt engineering, vector search, embeddings, and agent orchestration techniques.

Technical Leadership & Collaboration

• Collaborate with cross-functional teams to deliver scalable AI and analytics solutions.
• Create technical documentation, solution designs, and implementation plans.
• Present findings and recommendations to business and technical stakeholders.
• Mentor junior team members and promote best practices in data science and AI development.

Required Qualifications

• Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related field.
• 5+ years of experience in Data Science, Machine Learning, or Advanced Analytics.
• Strong proficiency in Python, SQL, and data manipulation techniques.
• Experience with machine learning models, statistical analysis, and predictive analytics.
• Hands-on experience with Generative AI, LLMs, RAG architectures, prompt engineering, and AI agent development.
• Experience working with APIs, microservices, and cloud-native architectures.
• Knowledge of vector databases, embedding models, and conversational AI solutions.
• Strong communication, problem-solving, and stakeholder management skills.
• Ability to manage multiple priorities in a fast-paced environment.

Nice to Have

• Experience with cloud platforms such as AWS, including AI/ML services.
• Experience with data engineering, ETL pipelines, data warehousing, and big data technologies.
• Familiarity with workflow orchestration and automation tools.
• Experience mentoring junior Data Scientists and Data Engineers.