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Added 7 hours ago
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Senior Research Scientist, Method Development (LC-MS)
Altasciences
Laval, QC
- Full-time
We are seeking a highly motivated and experienced Senior Research Scientist with strong expertise in bioanalytical mass spectrometry to join our Method Development team. The successful…
Added 8 hours ago
TB
Food Scientist, Cannabis Beverages and Edibles
Tilray Brands, Inc.
London, ON
- $60,000 to $80,000 CAD / year
- Full-time
Reporting to the Senior Director of Manufacturing, the Food Scientist is responsible for the research and development of new cannabis consumer products for adult use, with a focus on…
Added 12 hours ago
TI
2027 Accelerated Development Program - BrainBox AI
Trane Italia
Montreal, QC
- Full-time
Added 12 hours ago
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Senior Data Scientist
Visa
Toronto, ON
- Full-time
The Sr. Data Scientist is responsible for designing and deploying AI-powered tools and agent systems that combine LLMs and custom ML models into end-to-end solutions that support business…
Added 13 hours ago
R&
Principal Data Scientist, Agentic AI Technical Lead
Robots & Pencils
Canada
- Full-time
We're looking for a Principal Data Scientist to serve as the technical lead across an entire agentic AI program. This role is ideal for a deeply experienced data science and AI leader who…
Added 13 hours ago
AI
Lead Data Scientist
Alberta iGaming Corporation (AiGC)
AB · Greater Edmonton Metropolitan Area
- Full-time
We're looking for a Lead Data Scientist to lead the application of advanced data science and analytical methodologies to enable safe, fair, and responsible iGaming in Alberta by providing…
Added 13 hours ago
XP
Research Associate 1 or 2, Biology (12 Month Contract)
Xenon Pharmaceuticals
Burnaby, BC
- $58,100 to $81,000 CAD / year
- Full-time
The Research Associate 1 or 2, Biology will report to the Senior Research Scientist, Biology and be based out of Vancouver, BC, Canada. The level of the position will be commensurate with…
Added 17 hours ago
W
Junior Environmental Scientist or Technologist
Worley
AB · Alberta, Canada
- Full-time
As a Junior Environmental Scientist or Technologist, you will play an important role in delivering field-based environmental programs that support remediation, decommissioning, reclamation,…
Added 18 hours ago
M
AI Opportunities | Opportunités en IA
McKesson
Montreal, QC
- Full-time
…size it before it moves. Open roles: Lead Solution Architect, Senior Business Analyst, Data Scientist, Data…
Added 19 hours ago
Senior Data Scientist
Scotiabank
Toronto, ON
Within this department, the Senior Data Scientist is responsible for solving complex business problems, using quantitative approaches with a unique blend of analytical, mathematical and…
Added 21 hours ago
TT
Sr. Data Scientist
Tundra Technical Solutions
Mississauga, ON
- $75 to $85 CAD / hour
- Contract
Senior Data Scientist role within our client's Advanced Analytics team. This posting is for two headcount and both are end-to-end data science roles and are interchangeable by design.
Added 21 hours ago
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Data Scientist
Dexian
Mississauga, ON
- $75 to $85 CAD / hour
- Contract
Build dashboards/data applications for senior business stakeholders.
Added 1 day ago
KI
Architect, Machine Learning (Principal Scientist)
Kinaxis Inc.
Canada
- Full-time
…capabilities. As part of the Product R&D organization, you will play a senior technical leadership role in applied AI, helping identify promising techniques, develop differentiated…
Added 1 day ago
A
Senior Scientist - Sensors
Anasens
Montreal, QC
- Full-time
Anasens is #hiring! We are looking for a Senior Scientist - Biosensor.
Added 1 day ago
M
Scientist / Senior Scientist, Insect Biology and Bioassays
Molagri
Toronto, ON
- $130,000 to $160,000 USD / year
- Full-time
Added 1 day ago
M
Scientist / Senior Scientist, Synthetic Virology for RNA Delivery
Molagri
Toronto, ON
- $130,000 to $160,000 USD / year
- Full-time
Added 1 day ago
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Data Scientist III - Financial Crimes Network Analytics (ATH 5556)
TD
Toronto, ON · Markham, ON
- Full-time
Data Scientist III ( Financial Crimes Network Analytics )
Added 1 day ago
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Data Scientist III, Global Supplier Technology
Wayfair
Toronto, ON
- $172,180 to $185,424.5 CAD / year
- Full-time
As a Data Scientist III on this team, you'll turn that map into decisions. You'll define how we measure and rank huddles, figure out why products win or lose within them, and show whether…
Added 1 day ago
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Scientist / Senior Scientist, Synthetic Virology for RNA Delivery
Molagri (YC S26)
Toronto, ON
- Full-time
Added 1 day ago
CM
Research Technician III
CancerCare Manitoba
Winnipeg, MB
- Full-time
…commitment to research excellence. Working under the guidance of a scientist and senior technician, you’ll play a vital role in keeping experiments moving and data…
Added 1 day ago
M(
Scientist / Senior Scientist, Insect Biology and Bioassays
Molagri (YC S26)
Toronto, ON
- Full-time
Added 1 day ago
Research Technician III
Winnipeg Regional Health Authority
Winnipeg, MB
…commitment to research excellence. Working under the guidance of a scientist and senior technician, you’ll play a vital role in keeping experiments moving and data…
Added 1 day ago
T
Data Scientist III - Financial Crimes Network Analytics (ATH 5556)
TD
Toronto, ON
- Full-time
Data Scientist III ( Financial Crimes Network Analytics )
Added 1 day ago
FL
Scientist
Frontage Laboratories
Vancouver, BC
- $70,000 to $80,000 USD / year
- Full-time
Job Title: Scientist, BioA (Regular, full-time)
Added 1 day ago
HI
Data Scientist
HISH IT SERVICES
Toronto, ON
- $85 CAD / hour
- Contract
The Senior Analytics & Insights Consultant sits within Adastra's AI practice and serves as an embedded, end-to-end analytics partner to client businesses, translating deep quantitative…

Closed listing

TechBlocks

Senior Data Scientist

Vaughan, ON, Canada

Contract

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Job type: Contract
Closing date: Nov 4, 2026
Posting language: English
Posted: Oct 5, 2026

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Original job description

Archived listing. The details below describe a past opening.

About the Role

We are hiring a lead data scientist to own the technical strategy and hands-on development of large-scale optimization and machine learning systems that drive real operational decisions - routing, scheduling, resource allocation, network design, or forecasting-driven planning. You will lead the design of Mixed-Integer Linear Programming (MILP), Vehicle Routing Problem (VRP), constraint programming, and machine learning solutions that turn complex, high-volume operational problems into scalable, production decision systems.

This is a player-coach position. You will set technical direction and mentor a team of data scientists while staying hands-on in solver design, model architecture, and production deployment. You will partner directly with business, engineering, and executive stakeholders to turn operational challenges into optimization systems that deliver measurable gains in cost, efficiency, and service quality - skills that translate directly across supply chain, logistics, workforce, network, and resource-planning problems.

What You'll Do

Optimization & Model Architecture

Own the technical architecture of large-scale optimization systems built on MILP/MIP, constraint programming, and heuristic/metaheuristic solvers (e.g., Gurobi, CPLEX, OR-Tools).
Design and scale routing, scheduling, resource allocation, and network optimization models that account for real-world constraints such as capacity, time windows, territory or zoning restrictions, and service-level commitments.
Set modeling standards, solver performance benchmarks, and reusable optimization frameworks used across the data science team.
Integrate ML-based forecasting (demand, consumption, ETAs, anomalies) with the optimization engine to move decision-making from reactive to prescriptive.

Technical Leadership & Delivery

Define the architecture for deploying optimization and ML solutions in production on cloud/lakehouse platforms (e.g., Azure, Databricks), including validation, monitoring, and rollback strategy.
Lead design reviews and set the bar for model governance, testing, and code quality across the team.
Partner with Data Engineering to productionize solvers and pipelines at the throughput required for large-scale, recurring optimization runs.
Stakeholder Partnership & Team Leadership
Translate operational priorities from business and operations leaders into a prioritized optimization roadmap.
Present model trade-offs, assumptions, and business impact clearly to executive and non-technical audiences.
Hire, mentor, and grow a team of data scientists and optimization engineers; establish career development, code review, and model review practices.

Required Qualifications

10+ years of experience in data science, operations research, applied mathematics, industrial engineering, or an equivalent quantitative field, including 3+ years leading or mentoring a team.
A proven track record of shipping production MILP/MIP or VRP systems that solve real routing, scheduling, resource allocation, or network optimization problems at scale - not only academic or proof-of-concept work.
Expert-level Python and SQL, with hands-on experience using at least one commercial-grade solver (Gurobi, CPLEX) and/or OR-Tools.
Experience combining ML forecasting with optimization (e.g., demand or consumption forecasting feeding a scheduling or planning engine).
Experience deploying and operating models on cloud/lakehouse platforms (Azure, Databricks, or equivalent).
Strong written and verbal communication; comfortable presenting technical trade-offs to executive stakeholders.

Preferred Qualifications

Master's or PhD in Operations Research, Applied Mathematics, Industrial Engineering, Data Science, or a related field.
Experience applying optimization in supply chain, logistics, transportation, manufacturing, retail, or field-operations settings.
Familiarity with simulation, digital twins, reinforcement learning, or prescriptive analytics.
Experience with Spark or distributed computing for large-scale data processing.
Exposure to MLOps and model governance frameworks.

Tools & Technologies

Python •SQL •Gurobi / CPLEX / OR-Tools • Azure • Databricks •MILP / VRP • Spark • MLOps

Why TechBlocks

Work directly with Fortune 500 executives and digital transformation leaders.
Be part of a fast-growing, AI-native software engineering firm redefining global delivery through our GCC-as-a-Service model.
Collaborate with global teams in Canada, the U.S., and India on cutting-edge cloud and AI initiatives.
Competitive compensation, performance incentives, and a culture that values ownership, agility, and innovation.

About employer

More about this job

Responsibilities

Lead the technical strategy, architecture, and hands-on development of scalable optimization and machine learning systems for routing, scheduling, resource allocation, and network planning. Guide and mentor a data science team, productionize models with engineering partners, and communicate model trade-offs and business impact to stakeholders.

Requirements

Requires 10+ years of relevant quantitative experience, including 3+ years leading or mentoring a team, and a proven record of deploying production MILP/MIP or VRP systems at scale. Candidates need expert Python and SQL skills, experience with optimization solvers, ML forecasting, and cloud or lakehouse deployments; a relevant master's or PhD is preferred.

Skills

Python
SQL
Mixed-Integer Linear Programming
Mixed-Integer Programming
Vehicle Routing
Constraint Programming
Heuristic and Metaheuristic Solvers
Gurobi
CPLEX
OR-Tools
Machine Learning Forecasting
Cloud and Lakehouse Platforms
Azure
Databricks
Spark
Team Leadership

Benefits

Competitive Compensation
Performance Incentives

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Operations Research
Applied Mathematics
Industrial Engineering
Python
SQL
Mixed-Integer Linear Programming
Mixed-Integer Programming
Vehicle Routing Problem
Constraint Programming
Heuristic Solvers
Metaheuristic Solvers
Gurobi
CPLEX
OR-Tools
Machine Learning
Demand Forecasting
Scheduling
Resource Allocation
Network Optimization
Azure
Databricks
Spark
Distributed Computing
MLOps
Model Governance
Simulation
Digital Twins
Reinforcement Learning
Prescriptive Analytics

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