Data Scientist III

Raise; Toronto; Hybrid; CAD 97,000 - 115,000; Full time

Benefits offered by this job

Hybrid work arrangement

Team collaboration Thursdays

Job summary

Raise is hiring a Data Scientist III for a top client in Toronto. The ideal candidate will work in a hybrid setup (2/3 on-site, Thursdays for team collaboration) on a 12-month contract, translating business goals into analytical problems and developing GenAI-enabled ML solutions.

You’ll collaborate with cross-functional teams to deploy descriptive, predictive, and ML models, emphasizing feature engineering, model evaluation, and prompt engineering for LLMs.

Qualifications

• Bachelor's degree or equivalent in CS/Stats/Math
• 5+ years of data science development experience
• Proficient in Python for data science and GenAI development
• Advanced SQL and PySpark for multi-source data
• ML modelling including supervised/unsupervised techniques
• Data transformation across structured/unstructured data
• Understanding of APIs, microservices, cloud-native development
• GenAI frameworks and LLM APIs with bot/agent development
• RAG, prompt engineering, and embedding/vector databases familiarity
• Experience in chatbot/conversational AI design
• Strong communication to explain complex concepts to stakeholders
• Ability to manage multiple projects with changing deadlines
• Mentor to junior data scientists/engineers
• Excellent problem-solving and analytical skills

Responsibilities

• Translate business goals into analytical problems and identify suitable algorithms and GenAI architectures
• Work in cross-functional teams to develop ML/data science products including GenAI applications
• Apply descriptive, predictive, and machine learning methods from design to implementation
• Focus on feature engineering, model training, evaluation, and prompt engineering for LLMs
• Design, develop, and deploy GenAI solutions including AI agents and chatbots
• Research and pilot GenAI tech and RAG techniques for agentic frameworks
• Lead technical design artifacts describing data models and interfaces
• Engage stakeholders with clear findings and actionable recommendations
• Champion continuous improvement and innovation in analytics practices

Skills

Python

SQL

PySpark

GenAI

LLM APIs

APIs

Microservices

Education

Bachelor’s degree in CS/Statistics/Math

Tools

LangChain

LangGraph

CrewAI

Vector databases

Job description

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

• Location: Toronto, ON - Hybrid (2/3 days on-site with Thursday being the team collaboration day)
• Pay Rate: $70.61/hr - $83.35/hr
• Contract Length: 12 Months

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 skillsAbility 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
• Strong 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.

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/