Jobs in King, ON and nearby

Jobs within 25 km of King, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

6,496 listings · 1,390 employers Counted Oct 6, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (125 listings), Advanced Micro Devices, Inc (103 listings), Walmart Canada (95 listings).

Common roles: Retail sales associate, Personal support worker, Sales representative.

839 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / year	75,000.00	393
CAD / hour	22.26	352
USD / year	72,500.00	28
USD / hour	20.00	17

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 14% hybrid, 86% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in King, ON and nearby

Within 25 km

Email me new jobs Save this search

Added 1 hour ago
SA
insurance broker
St. Andrews Insurance Brokers
Woodbridge, ON
- Full-time
Added 1 hour ago
BI
Insurance Brokers
Billyard Insurance Group Inc.
Richmond Hill, ON
- Full-time
Added 1 hour ago
TL
Dispatcher
TRILINK LOGISTICS INC.
Bolton, ON
- Full-time
Added 1 hour ago
S
Paid Services Beauty Advisor - Part Time
sephora.com
Richmond Hill, ON
- $19.7 to $23.2 CAD / hour
Added 1 hour ago
YH
Peer Support Navigator
York Hills Centre for Children Youth and Families
Maple, ON
- $58,294 to $61,842 CAD / year
- Contract
Added 1 hour ago
C
Sales Associate
Claire's
Richmond Hill, ON
- $17 to $18 USD / hour
- Part-time
Added 1 hour ago
EF
Showroom Sales Specialist
Elysium Furniture
Woodbridge, ON
- Full-time
Added 1 hour ago
HH
ELV Coordinator
HSC Holdings Inc
Richmond Hill, ON
- Full-time
Added 2 hours ago
AI
Human Resources Business Partner
ATS Industrial Automation
Woodbridge, ON
- Full-time
Added 2 hours ago
SC
Field Sales Representative
Sagewise Capital Corporation
Vaughan, ON
- Other
Added 2 hours ago
CI
Student Intern IL, Quality Engineering & FAI 1
Celestica International LP
Newmarket, ON
- $24 to $30 CAD / hour
Added 2 hours ago
Student Intern, Quality Administration & Training
Celestica International LP
Newmarket, ON
Added 2 hours ago
Principal Product Manager (Healthcare Solutions)
Open Text Corporation
Richmond Hill, ON
Added 3 hours ago
CC
Warehouse Associate - Loader/Unloader - 2nd Shift
Cintas Canada
Newmarket, ON
- Full-time
Added 3 hours ago
FH
Credit Analyst
Fuze HR Solutions
Concord, ON
- Full-time
Added 3 hours ago
SC
Senior Integrated Marketing Specialist (Contract)
Staples Canada
Richmond Hill, ON
- $64,300 to $80,350 USD / year
- Full-time
Added 3 hours ago
CC
Production Associate - Garment Hanger/Inspector
Cintas Canada
Newmarket, ON
- Full-time
Added 3 hours ago
Retail Sales Associate Part Time
Tailored Brands
Vaughan, ON
Added 3 hours ago
U
Evening Warehouse Associate
UPS
Concord, ON
- Internship
Added 3 hours ago
U
Evening Warehouse Associate
UPS
Concord, ON
- Internship
Added 3 hours ago
GL
Seasonal - Sales Associate
Guess?, LLC.
Woodbridge, ON
- Temporary
Added 3 hours ago
U
Evening Warehouse Associate
UPS
Concord, ON
- Internship
Added 3 hours ago
S
Service Partner Program Specialist - ONSITE
SCIEX
Vaughan, ON
- Full-time
Added 3 hours ago
CH
Seasonal Stylist (Sales Associate)
Cole Haan
Vaughan, ON
- Temporary
Added 3 hours ago
D
Service Partner Program Specialist - ONSITE
Danaher
Concord, ON
- Full-time

TechBlocks

Senior Data Scientist

Vaughan, ON, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 4, 2026
Posting language: English
Posted: Oct 5, 2026

Original job description

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.

Apply 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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