Jobs in Canada

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Added 13 days ago
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Principal Data Architect, FSI
Infostrux
Toronto, ON
- Full-time
You’ll lead project teams assembled per engagement, setting technical direction and carrying proven patterns forward
Added 13 days ago
I
Data Governance Architect
Infostrux
Toronto, ON
- Full-time
Leadership: Lead the governance workstream end-to-end, from discovery and current-state assessment through design, implementation, handover, and adoption. Manage the work of a team of data…
Added 13 days ago
FO
Data Advisor
Federation of Canadian Municipalities
Ottawa, ON · Hybrid - Ottawa
- Full-time
Provide support for initiatives such as planning and organizing working groups, information management, and coordinating with stakeholders, lead advisors and service providers.
Added 13 days ago
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Senior Automation Specialist
REWORKIO
Remote, Canada
- $50,000 to $100,000 USD / year
- Full-time
- Remote
…automations - from AI customer support bots to fully automated lead…
Added 13 days ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Lead end-to-end functional, integration, regression, and system testing across complex banking applications.
Added 13 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Under the direction of the designated IT Manager, the Application and Integration Technical Analyst is a technical lead responsible for system architecture, data strategy, and integration…
Added 13 days ago
A
Test Automation Lead
Accenture
Mississauga, ON
- Full-time
Test automation experience for mainframe (Micro Focus UFT, Rocket/Zowe-based tooling, Selenium, Python, REST API testing with Postman or REST Assured)
Added 14 days ago
Analyste de test technique principal·e I Technical Test Lead
2K Vegas
Montreal, QC
Formation technique avec maîtrise d’au moins un langage de programmation ou de scriptage tel que Java, Python, C#, Bash, Lua, PowerShell, etc.
Added 14 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Under the direction of the designated IT Manager, the Application and Integration Technical Analyst is a technical lead responsible for system architecture, data strategy, and integration…
Added 14 days ago
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Agentic Commerce AI Engineering Lead
Azoma
ON · Ontario, Canada
- Full-time
Lead technical customer discussions and internal reviews, using clear explanations and working demonstrations to connect architecture and scientific evidence to customer outcomes and…
Added 14 days ago
FH
Analyst, Business Systems
Fraser Health
Surrey, BC
- Full-time
Strong proficiency with SQL, Power BI, Excel, and ideally Python or R.
Added 14 days ago
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Marketing Engineer & Director of AEO
Notified
Toronto, ON
- Full-time
Lead, coach, and manage a team of web managers and developers, ensuring clear priorities, execution excellence, and ongoing professional development.
Added 14 days ago
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Principal Software Engineer
EngRadar
Kitamaat 2, BC
- Full-time
…capabilities that every Conga B2B product is built on. You’ll lead a team of 5 to 8 engineers, set technical direction for authentication and authorization across the platform, and serve as…
Added 14 days ago
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TikTok Commerce - Strategy and Analytics Manager
TikTok
Toronto, ON
- Full-time
- Market Intelligence & Research: Lead comprehensive research on the e-Commerce landscape, including deep-dive competitor analysis and emerging social commerce trends to refine platform…
Added 14 days ago
KG
Senior Data Center Network Engineer
K&K Global Talent Solutions INC.
Quebec, QC
- Full-time
Core Technology Rollouts: Lead large-scale network migrations, infrastructure technology refreshes, and hardware lifecycle deployment initiatives with zero downtime.
Added 14 days ago
AP
Manager, Data Operations
Alexion Pharmaceuticals, Inc.
Mississauga, ON
- Full-time
In this role, you will lead the delivery and daily operation of specialty pharmacy, specialty infusion, patient services, trade and distribution data that powers our US Commercial strategy…
Added 14 days ago
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Software Engineer, Fullstack
EngRadar
Toronto, ON
- Full-time
Lead projects from early design through implementation, delivery, and iteration
Added 14 days ago
AS
Lead Data Scientist
AgileGrid Solutions
Canada
- Full-time
PakEnergy is seeking a hands-on Lead Data Scientist to establish and lead data science and machine learning for the Innovation Lab. Reporting to the Chief Product Officer, you will shape…
Added 15 days ago
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Engineering Intern
Aptiv
Ottawa, ON
- $4,000 to $5,000 CAD / month
- Full-time
Experience in scripting language e.g., Python
Added 15 days ago
QT
Building Science Lead
QEA Tech
Toronto, ON · Greater Toronto Area, Canada
- Full-time
QEA Tech is seeking a Building Science Lead to play a dual role as a strong technical contributor and team leader within the Building Science team. This is a hands-on position for an…
Added 15 days ago
PC
IT Lead Specialist - Enterprise Infrastructure Intelligence / Splunk
Parkland Corporation
Calgary, AB
- Full-time
OpenTelemetry, REST APIs, Python, PowerShell, SQL, automation, and data-pipeline integration.
Added 15 days ago
Actuarial Consultant - Alberta Auto Pricing
Wawanesa Insurance
Toronto, ON · AB · Winnipeg, MB · Wawanesa, MB · Moncton, NB · Thunder Bay, ON · Ottawa, ON · Kitchener, ON · Montreal, QC · Vancouver, BC · Lloydminster, AB · Dartmouth, NS · Calgary, AB · Lethbridge, AB · Edmonton, AB (Hybrid), AB · North York - Toronto, ON (Hybr, ON
As an Actuarial Consultant (Personal Lines Pricing – Alberta Auto), you’ll take a lead role in the auto pricing analysis for the Alberta region, working with a high degree of autonomy. This…
Added 15 days ago
Senior Data Analyst
Konrad
Toronto, ON
Lead analytical projects end-to-end including discovery, data validation, analysis, and presentation of recommendations
Added 15 days ago
CO
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, ON
- Full-time
Act as a tech lead developer owning technical design and development of cross-functional, multi-platform, fault tolerant application systems
Added 15 days ago
M
Développeur(euse) Web Fullstack
Mirego
Montreal, QC · Quebec, QC
- Full-time
…l’aise en back-end avec des technologies comme Elixir, .NET ou Python. Tu possèdes aussi une certaine expérience avec les services Web REST ou GraphQL, ainsi qu’une bonne compréhension des…

AgileGrid Solutions

Lead Data Scientist

Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 24, 2026

Original job description

PakEnergy is accelerating its innovation. Join the team building practical AI and data science solutions for the energy industry.

About The Company

More than 2,300 oil and gas companies rely on PakEnergy’s software for land management, production, accounting and transportation. PakEnergy is expanding its use of AI across these platforms through the PakEnergy Innovation Lab. The Lab brings together product experts, applied AI engineers and solution engineers to identify meaningful customer challenges, develop working prototypes using operational data, and bring validated solutions into production. Recent innovations include AI-powered lease provision analysis, PakCAPTURE document processing for transportation, and OnPing Plunger well optimization.

About The Role

PakEnergy is seeking a hands-on Lead Data Scientist to establish and lead data science and machine learning for the Innovation Lab. Reporting to the Chief Product Officer, you will shape the Lab’s data science direction while building models and writing code yourself. You will partner with experts across Land, Production, Accounting and Transportation to frame customer problems, assess opportunities and determine whether proposed solutions are supported by evidence. This role offers ownership from initial exploration through customer pilots, production handoff and ongoing model performance. You will also work closely with the Lead Applied AI Engineer, whose focus includes generative AI, LLMs and agentic systems. There are no direct reports initially, but the role can help shape and lead a future data science team as the Lab grows.

Qualifications

You bring at least eight years of applied machine learning or data science experience and a record of building and shipping multiple models used by customers. You have set technical direction, selected tools and standards, and mentored or coached data scientists or engineers. You bring strong expertise in at least one area such as time-series forecasting, anomaly detection or optimization, supported by sound statistical knowledge, experimental design and model evaluation skills. Expert Python and SQL skills are required, as is a willingness to remain hands-on.

You also have working knowledge of LLM and generative AI systems, including evaluation approaches such as test-set design, metrics, human labeling and error analysis. You can work effectively with product, engineering, executives and domain experts, translate ambiguous challenges into measurable work, and communicate candidly when an approach is unlikely to succeed. Experience with fast-moving software development and responsible production delivery is important. Energy, oil and gas, SCADA/IIoT, geospatial data, document extraction, Databricks, Spark, Azure, AWS, MLflow, early-stage team building or customer-focused innovation work are beneficial, but not required. A quantitative degree or equivalent practical experience is expected; an advanced degree is welcome.

This is an in-office position in Frisco, Texas, or Calgary, Alberta. The US position is classified as exempt. Canadian employment classification will follow Alberta employment standards.

Responsibilities

Collaborate with product experts to define customer problems, establish measurable outcomes and prioritize promising opportunities. Explore and model production, SCADA/IIoT, accounting, transportation, geospatial and other operational data. Build forecasting, anomaly detection, optimization and predictive models, taking work from analysis to prototype. Design experiments, offline evaluations and pilot success measures, and make evidence-based recommendations about whether solutions should proceed.

Partner with the Lead Applied AI Engineer by supplying relevant data, contributing statistical and machine learning models, and helping design rigorous evaluations for AI systems. Work with solution engineers on customer pilots and define data, monitoring and MLOps requirements for production handoff. Collaborate with engineering after deployment to monitor performance, detect drift and improve models. Establish standards for data quality, reproducibility, experimentation and responsible machine learning; document practices, strengthen data fluency across the Lab, mentor teammates and contribute to future hiring plans.

Benefits

PakEnergy offers a casual business work environment, generous paid time off, employer-sponsored health benefits and a retirement savings plan, including a 401(k) in the United States. The role provides direct access to leadership, deep collaboration with industry experts and the opportunity to see your work reach customers.

Equal Opportunity

PakEnergy is an equal opportunity employer. We welcome applicants of all backgrounds and are committed to an inclusive hiring process. If you are excited about this opportunity but do not meet every qualification, we encourage you to apply.

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More about this job

Responsibilities

Define and prioritize customer problems with product experts, then build and evaluate forecasting, anomaly detection, optimization, and predictive models using operational data. Lead experimentation and customer pilots, support production handoffs and ongoing model monitoring, and establish data science standards while mentoring teammates and helping shape the future team.

Requirements

Requires at least eight years of applied machine learning or data science experience, a record of shipping customer-facing models, and expertise in at least one area such as forecasting, anomaly detection, or optimization. Candidates need expert Python and SQL skills, strong statistical and evaluation capabilities, working knowledge of generative AI and LLM evaluation, and experience setting technical direction; a quantitative degree or equivalent practical experience is expected.

Skills

Applied Machine Learning
Data Science
Python
SQL
Time-Series Forecasting
Anomaly Detection
Optimization
Statistical Analysis
Experimental Design
Model Evaluation
Generative AI
Large Language Models
MLOps
Data Quality
Model Monitoring
Technical Leadership

Benefits

Paid Time Off
Health Benefits
Retirement Savings Plan
401(k)

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Python
SQL
Time-Series Forecasting
Anomaly Detection
Optimization
Predictive Modeling
Statistical Analysis
Experimental Design
Model Evaluation
Generative AI
Large Language Models
Agentic Systems
SCADA
IIoT
Geospatial Data
Document Extraction
Databricks
Spark
Azure
AWS
MLflow
MLOps
Data Quality
Reproducibility
Model Monitoring
Drift Detection
Energy
Oil and Gas

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