Data Scientist III

Ian Martin Group; Toronto; Hybrid; CAD 147,000 - 173,000; Full time

Benefits offered by this job

Hybrid work model

Team collaboration day Thursday

Job summary

Raise is seeking a Data Scientist III in Toronto, offering hybrid work with 2/3 on-site days and Thursdays reserved for team collaboration. The role emphasizes GenAI, ML modeling, and strong Python skills to deliver data-driven solutions for business problems.

The candidate should bring 5+ years of experience, expertise in SQL/PySpark, and familiarity with LangChain and vector databases. Competitive compensation is provided in CAD.

Qualifications

• Bachelor's degree or equivalent experience in CS, Statistics, Mathematics, or related field.
• 5+ years’ experience developing and implementing data science techniques.
• Proficient in Python for data science and GenAI development.

Responsibilities

• Translate business goals into analytical problems and identify suitable algorithms and GenAI architecture.
• Work in cross-functional teams to develop ML/data science products, including GenAI applications.
• Apply data science techniques including descriptive, predictive, and ML methods from design to implementation.
• Focus on feature engineering, model training, evaluation, and prompt engineering for LLMs.

Skills

Python

GenAI experience

SQL

PySpark

ML modeling

Communication

Education

Bachelor's degree in CS/Stats/Math

Tools

SageMaker

LangChain

Airflow

Job description

Data Scientist III

• 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

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. We’re hiring right now; if you’re interested, apply below for your chance to join a great place to work

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
• 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.

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/

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