Location: Toronto, ON - Hybrid (2/3 days on-site with Thursday being the team collaboration day)
Pay Rate: $48.79/hr - $57.59/hr

Location: Toronto, ON - Hybrid (2/3 days on-site with Thursday being the team collaboration day)
Pay Rate: $48.79/hr - $57.59/hr
Contract Length: 12 Months

We at Raise are hiring a Data Scientist I for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand.

Responsibilities
Data Science and Machine Learning

Translate business goals into analytical problems; Identify optimal algorithms, statistical techniques and/or GenAI architecture suitable for the business problem at hand

Work in cross-functional teams to develop ML/data science products, including GenAI applications

Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation

Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs

GenAI & Agentic AI Development

Design, develop, and deploy GenAI solutions including AI agents, chatbots, and autonomous systems that solve complex business problems

Research and pilot the latest GenAI technologies, RAG (Retrieval-Augmented Generation) techniques, and agentic frameworks (LangChain, LangGraph, CrewAI etc.)

Implement AI bots/agents with advanced reasoning capabilities and tool use patterns

Work with vector databases and embedding models to build intelligent information retrieval systems

Technical Leadership & Collaboration

Break down broader data science development milestones into actionable goals, activities, and work plans

Create and maintain technical design artifacts describing application functionality, data models, interfaces, and integrations

Engage and negotiate with stakeholders,



make business recommendations with effective presentations of findings at multiple levels of stakeholders

Champion continuous improvement and foster innovation within the analytics communi.

Required Qualifications

Bachelor’s degree in computer science, Statistics, Mathematics, or related field, or equivalent experience

5+ years’ experience in developing and implementing data science techniques

Proficient in Python for data science and GenAI application development

Experience with writing complex SQL and PySpark queries to extract and integrate data from multiple database sources

Proficiency in machine learning including supervised and unsupervised models

Demonstrated experience in data transformation, data manipulation, and working with structured vs. unstructured data

Strong understanding of APIs, microservices architecture, and cloud-native development

Hands-on expertise with GenAI frameworks and LLM APIs with experience developing AI bots/agents with reasoning and tool-use capabilities

Strong understanding of RAG techniques, prompt engineering, and fine-tuning methodologies and familiarity with vector databases and embedding models

Experience with chatbot development concepts and conversational AI design

Exceptional communication skills to articulate complex technical concepts to both technical and non-technical stakeholders

Effective and concise oral and written storytelling and insights communication skills





Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

Proven ability to mentor and guide junior data scientists and data engineers

Solid problem-solving abilities and analytical skills with keen attention to detail

Nice To Have

Experience with AWS services including SageMaker, Lambda, Bedrock, and other AI/ML services

Experience with data warehousing, pipelines, and big data technologies such as AWS Glue for ETL, Glue Catalog, Glue Data Quality, and AWS Step Functions.

Looking for meaningful work? We can help!
Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.

We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.

We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation: https://raise.jobs/accommodations/

In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions), please contact us at +1 (phone hidden) or [email protected]

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📌 Data Scientist I (Ontario)
🏢 Raise
📍 Ontario