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Added 10 hours ago
IT Support Technician
CONA Services
Montreal, QC · Lachine, QC
We are recruiting for an IT Support Technician to join our Information Technology team. The IT Support Technician serves as an on-site technical resource dedicated to the Lachine Coca-Cola…
Added 11 hours ago
R
Account-Based Marketing Manager - TrainAI
RWS
Canada
- Full-time
…responsible AI data that’s targeted, accurate and reliable to ensure machine learning (ML) success. But preparing AI training data is a monumental task that can take up the vast majority of…
Added 13 hours ago
TF
EHS Specialist I
Thermo Fisher Scientific
Whitby, ON
- Full-time
Lead the creation, development and integration of EHS programs – safety examples: lockout tagout, machine guarding, process safety; environmental examples: NPRI, NSNR; Industrial hygiene…
Added 14 hours ago
ES
Senior Product Manager | Applied AI
EPAM Systems
Canada
- Full-time
…AI-powered features - not the ability to build, train or tune machine-learning models as an ML engineer or data scientist…
Added 20 hours ago
SK
Associate Director, Platform Engineering
Sokoni Kwetu
London, ON
- Full-time
…single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure.We are scaling rapidly and building a team of…
Added 20 hours ago
SK
Senior Data Scientist
Sokoni Kwetu
London, ON
- Full-time
…applications, and to make them happen.Faculty’s Retail & Consumer team builds AI that re-engineers how retail and consumer businesses make decisions, from personalised promotions and…
Added 21 hours ago
X
Business Development Lead
Xanadu
Toronto, ON
- Full-time
Strong technical aptitude - ability to quickly grasp high-level concepts in quantum computing, machine learning, and photonic hardware to hold technical discussions with CTOs, VP-level…
Added 1 day ago
B
Developer Lead (AI-Enabled Systems)
BMO
Toronto, ON · FCP
- Full-time
…genuine business value. Candidates are not expected to have a research background in machine learning. We are looking for engineers who have implemented LLM-based functionality, understand…
Added 1 day ago
A
Data Scientist
Amyantek
Toronto, ON · Greater Toronto Area, Canada
- Contract
…puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for…
Added 1 day ago
ET
Demand Generation Manager
ExcelSense Technologies Corp.
Vancouver, BC
- Full-time
Initially lead trade show operations and logistics with support from ExcelSense’s operations and logistics team. As the marketing team expands, these responsibilities will transition to…
Added 1 day ago
A
1836 Data Scientist III
Amyantek
Toronto, ON
- Contract
…puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for…
Added 1 day ago
B
Senior Manager, AI Strategy & Product Management
BMO
Toronto, ON · FCP
- Full-time
Lead product discovery and prioritization by integrating client research, analytics, market intelligence, business objectives, and technical considerations into actionable product…
Added 1 day ago
TV
Technical Business Development Director
TandemLaunch Ventures Studio & Funds
Montreal, QC
- Full-time
…innovations in consumer electronics, hardware-enabled technologies, machine learning, and embedded systems, working directly with researchers from major university labs. We are one of very…
Added 1 day ago
TV
Director of Product Strategy and Commercialization
TandemLaunch Ventures Studio & Funds
Montreal, QC
- Full-time
…innovations in consumer electronics, hardware-enabled technologies, machine learning, and embedded systems, working directly with researchers from major university labs. We are one of very…
Added 1 day ago
Lead Software Developer
Geotab
Toronto, ON · Oakville, ON · Waterloo, ON
…billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety…
Added 1 day ago
Directeur de la stratégie produit et de la commercialisation | Director of Product Strategy and Commercialization
TandemLaunch
Montreal, QC
Added 1 day ago
ES
Experience Designer II - A-Team
EA SPORTS
Vancouver, BC
- Full-time
We are a cross-functional, applied R&D team, strategically positioned in EA to drive and disrupt the future of character animation technology. We are a self-motivated, collaborative team,…
Added 1 day ago
IC
Triton Compiler Engineering Manager
Intel Corporation
Toronto, ON · CAN - - Toronto
- Full-time
…developers to create highly optimized GPU kernels that power modern machine learning frameworks and…
Added 1 day ago
Sales Representative Intern (Sep-Dec 2026)
ProCogia
Vancouver, BC
Currently enrolled in or recently completed a Bachelor’s, Master’s, or PhD program in Computer Science, Machine Learning, AI, Data Science, Computational Linguistics, or a related field.
Added 1 day ago
JI
Senior Data Scientist
J.D. Irving, Limited
Saint John, NB
- Full-time
The Senior Data Scientist is a collaborative member of the Analytics team who creates value from data. They’re focused on identifying opportunities to drive value through advanced…
Added 1 day ago
I
Triton Compiler Engineering Manager
Intel
Toronto, ON
- Full-time
…developers to create highly optimized GPU kernels that power modern machine learning frameworks and…
Added 1 day ago
T
Senior Product Manager (KYC - Fraud & Risk)
Trulioo
Remote, Canada
- Full-time
- Remote
…You will work at the intersection of identity verification, machine learning, compliance, and financial services, directly shaping how global enterprises onboard customers, detect synthetic…
Added 1 day ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
Familiarity with building and training machine learning models (e.g., regression, classification, clustering) using frameworks like Scikit-learn, TensorFlow, or PyTorch.
Added 1 day ago
Q
Technical Lead – Treasury
Quantiphi
Toronto, ON · CA ON Toronto
- Full-time
…them to a culture built on transparency, diversity, integrity, learning and…
Added 1 day ago
CC
IT Support Technician
Coca-Cola Canada Bottling Limited
Montreal, QC
- Full-time
We are recruiting for an IT Support Technician to join our Information Technology team. The IT Support Technician serves as an on-site technical resource dedicated to the Lachine Coca-Cola…

TekStaff IT Solutions

Data Scientist

Toronto, ON, Canada

Contract

Apply About employer

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Job details

Job type: Contract
Apply by: Nov 8, 2026
Experience: · 5+ years’ experience in developing and implementing data science techniques
Posting language: English
Posted: Oct 9, 2026

Original job description

TekStaff's Client has a current vacancy for "Data Scientist"

Job Description

Role Summary

Reporting to the Director, Data Science, as a Senior Data Scientist a successful candidate will focus on supporting Canadian business units in accelerating the growth and application of advanced analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

Key attributes:

Fierce curiosity. A successful candidate is drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. The 3 core technical skills would be: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data and unstructured data. Thirst for learning. A successful candidate is a data scientist who is constantly updating their knowledge of data science state-of-the-art.

Key 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.

TekStaff may use artificial intelligence (AI) tools as part of the applicant screening process. However, applications will also be reviewed by a member of our Recruitment team to ensure a fair and thorough assessment.

Apply About employer

More about this job

Responsibilities

Translate business goals into analytical problems and develop, evaluate, and deploy machine learning and generative AI solutions, including agents, chatbots, and retrieval systems. Lead technical planning and design, collaborate with stakeholders, communicate findings, and mentor junior data science and engineering staff.

Requirements

Requires a bachelor’s degree in computer science, statistics, mathematics, or a related field, or equivalent experience, and at least five years of data science implementation experience. Candidates should be proficient in Python, SQL, PySpark, machine learning, GenAI and LLM development, RAG, prompt engineering, data transformation, APIs, and cloud-native development, with strong communication and mentoring skills.

Skills

Python
SQL
PySpark
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
AI Agent Development
Feature Engineering
Model Training and Evaluation
Vector Databases
Embedding Models
API and Microservices Architecture
Cloud-Native Development
Stakeholder Communication

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
PySpark
Machine Learning
Supervised Learning
Unsupervised Learning
Generative AI
Large Language Models
LLM APIs
Retrieval-Augmented Generation
Prompt Engineering
Fine-Tuning
AI Agents
Chatbots
Conversational AI
LangChain
LangGraph
CrewAI
Vector Databases
Embedding Models
Feature Engineering
Data Transformation
Structured Data
Unstructured Data
APIs
Microservices
Cloud-Native Development
AWS SageMaker
AWS Lambda
Amazon Bedrock

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