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Added 13 mins ago
ZS
Enterprise Data Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Experience supporting platform modernization, cloud adoption, solutioning, effort estimation, and client-facing technical discussions.
Added 1 hour ago
CM
Learning Technology Specialist
Canadian Medical Protective Association
Ottawa, ON
- Full-time
The Educational Technology Specialist serves as the business-side technical lead for the Learning Management System (LMS) and related educational technology solutions. The role is…
Added 1 hour ago
S
Drainage Design Engineer
SYSTRA
Toronto, ON
- Full-time
Lead SWM and Drainage Engineer responsible for the design and modeling of SWM Systems, including stormwater sewers, sanitary sewers, water mains and overland flow.
Added 1 hour ago
RC
Intermediate CRM Developer
Royal College of Physicians and Surgeons of Canada
Ottawa, ON
- Full-time
Reporting to the Manager, Corporate Systems, the Intermediate CRM Developer is responsible for designing, developing, implementing, and supporting Microsoft Dynamics 365 and Power Platform…
Added 2 hours ago
T
Enterprise Delivery Reporting and Orchestration Analyst
TD
Toronto, ON
- Full-time
Lead workstreams that advance Enterprise Delivery Council maturity, enhance enterprise delivery reporting and support continuous improvement.
Added 3 hours ago
IB
Senior Scrum Master - Agile Delivery Lead
Invisia BPO
NB · Chiasson Office, NB
- Full-time
…products, including Zee Business, a US-focused online travel platform. Our teams work across Product, Engineering, Quality Assurance, Design and business functions to deliver reliable,…
Added 3 hours ago
NS
Senior Site Reliability Engineer (SRE) – CDN & Web Performance (Adobe)
N2P Systems
Toronto, ON
- Full-time
…help build and operate a modern, public-facing enterprise web platform delivered through Adobe Experience Manager (AEM) Edge Delivery Services…
Added 5 hours ago
C
Business Systems Analyst- Payments Modernization
CGI
Toronto, ON
- Full-time
Data & Technical Acumen: Strong data analytical skills, including proficiency in SQL and familiarity with reporting tools (e.g., Jaspersoft, Tableau) to manipulate and analyze large…
Added 9 hours 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 9 hours ago
TC
Senior Product Analyst
TJX Canada – Winners, Marshalls, HomeSense
Mississauga, ON
- $87,780 to $122,892 CAD / year
- Full-time
…scalable, and audit-ready solutions across our global Workday platform. In this highly visible role, you’ll lead cross-functional collaboration, influence strategic product and security…
Added 9 hours ago
KM
Analyste d'affaires (Maritimes)
Konica Minolta Business Solutions Canada
Moncton, NB
- Contract
…involved in both financial and operational forecasting and reporting. Projects assigned are often deadline-oriented, requiring strong organizational skills, excellent interpersonal and…
Added 9 hours ago
Director of Engineering, Data
BuildOps
Toronto, ON
…governed. As Director of Engineering, Data, you will build and lead our unified Data & AI engineering function. You will own the platforms, pipelines, quality standards, and operating…
Added 10 hours ago
R|
Project Manager, Capture and Optimization of Research Data (CORD) Platform
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
…to join the Capture and Optimization of Research Data (CORD) platform of the Centre for Outcomes Research and Evaluation (CORE). CORD provides researchers with expert support, technical…
Added 10 hours ago
W
Sr AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
…world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on…
Added 10 hours ago
T
Manager - Stress Testing Data, Controls and Analytics
TD
Toronto, ON
- Full-time
…combines stress testing subject-matter expertise, data management, technical analysis, control design, regulatory reporting and cross-functional delivery. The successful candidate will…
Added 12 hours ago
SM
RQ00793 – Project Manager/Leader – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…extensive experience in IT Service Management (ITSM), ServiceNow platform configuration, Digital Product Release Management (DPRM), enterprise release governance, and systems integration.…
Added 12 hours ago
SM
RQ00793 – Project Manager/Leader – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…extensive experience in IT Service Management (ITSM), ServiceNow platform configuration, Digital Product Release Management (DPRM), enterprise release governance, and systems integration.…
Added 12 hours ago
SM
RQ00793 – Project Manager/Leader – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…extensive experience in IT Service Management (ITSM), ServiceNow platform configuration, Digital Product Release Management (DPRM), enterprise release governance, and systems integration.…
Added 12 hours ago
WI
Business Analyst, ServiceNow - Global Finance
WSP in Canada
Moncton, NB
- Full-time
Reporting to the Global Finance ServiceNow and Transformation Lead, you will serve as a key connection between Finance stakeholders and the ServiceNow delivery team, helping drive platform…
Added 12 hours ago
WI
Business Analyst, ServiceNow - Global Finance
WSP in Canada
Montreal, QC
- Full-time
Reporting to the Global Finance ServiceNow and Transformation Lead, you will serve as a key connection between Finance stakeholders and the ServiceNow delivery team, helping drive platform…
Added 12 hours ago
WI
Business Analyst, ServiceNow - Global Finance
WSP in Canada
Laval, QC
- Full-time
Reporting to the Global Finance ServiceNow and Transformation Lead, you will serve as a key connection between Finance stakeholders and the ServiceNow delivery team, helping drive platform…
Added 12 hours ago
WI
Business Analyst, ServiceNow - Global Finance
WSP in Canada
Brossard, QC
- Full-time
Reporting to the Global Finance ServiceNow and Transformation Lead, you will serve as a key connection between Finance stakeholders and the ServiceNow delivery team, helping drive platform…
Added 12 hours ago
WI
Business Analyst, ServiceNow - Global Finance
WSP in Canada
Toronto, ON
- Full-time
Reporting to the Global Finance ServiceNow and Transformation Lead, you will serve as a key connection between Finance stakeholders and the ServiceNow delivery team, helping drive platform…
Added 12 hours ago
WI
Business Analyst, ServiceNow - Global Finance
WSP in Canada
Vancouver, BC
- Full-time
Reporting to the Global Finance ServiceNow and Transformation Lead, you will serve as a key connection between Finance stakeholders and the ServiceNow delivery team, helping drive platform…
Added 12 hours ago
WI
Business Analyst, ServiceNow - Global Finance
WSP in Canada
Calgary, AB
- Full-time
Reporting to the Global Finance ServiceNow and Transformation Lead, you will serve as a key connection between Finance stakeholders and the ServiceNow delivery team, helping drive platform…

PakEnergy

Lead Data Scientist, Innovation Lab

Calgary, AB, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 19, 2026
Posting language: English
Posted: Oct 20, 2026

Original job description

PakEnergy is accelerating its innovation. Help us lead it.

More than 2,300 oil and gas companies run their land, production, accounting and transportation on PakEnergy. We've started putting AI to work across that platform. Now we're accelerating our pace of innovation, and we're building the PakEnergy Innovation Lab to do it.

The Lab's mandate is simple: find the highest-value problems our customers face, prove solutions quickly with working prototypes built on real operational energy data, and take what works into production. We're hiring a Lead Data Scientist to be the founding owner of data science and machine learning on the Lab's cross-functional team, reporting directly to our Chief Product Officer. This is a hands-on lead role: you'll build the models and write the code yourself while setting direction for the discipline. You'll have real autonomy. You own the data science approach on Lab projects, help shape the opportunity backlog with the Chief Product Officer and the industry experts, and make the call, backed by evidence, when an idea should stop. We value candor over polish: a fast, well-reasoned "this won't work" is a good outcome. Our data spans several product platforms, and part of the job is spotting the data gaps that limit what we can ship and helping close them.

What We've Already Shipped With Pak AI

AI-powered lease provision analysis (PakEnergy Land). Embedded AI that flags key lease provisions in seconds instead of hours, so land teams can manage large portfolios and acquisitions faster.
PakCAPTURE™ (PakEnergy Transportation). Drivers photograph tickets, receipts and paperwork in the mobile app. Pak AI extracts the key data, auto-populates pickup and drop-off forms, and files the documents with the right load.
OnPing Plunger™ (OnPing). Optimization for plunger-lift wells. Pak AI learns each well's best historical runs, compares actual against expected performance, and tunes setpoints within the operator's automation and safety limits, or flags the well for human review. It has delivered up to 30% more production on conservatively set wells and 3.5–7% on wells that were already well optimized.

These are the first steps. The Innovation Lab is where the next ones get found, proven and shipped.

The team

The Innovation Lab brings together everyone it takes to go from a customer problem to a working product:
Industry experts for every PakEnergy product: Land, Production, Accounting and Transportation. They know the workflows, the data and the customers firsthand.
A Lead Applied AI Engineer, your peer, who designs and builds the Lab's generative AI, LLM and agentic systems and gets them into production.
Solution engineers who take prototypes to customers and into production.
You, the Lab's founding owner of data science and machine learning.
For a strong data scientist, this means you won't get requirements secondhand, you won't build in a vacuum, and there's a clear path from your model to a customer. Domain experts frame problems with you, your peer lead in applied AI builds the generative AI side, and solution engineers put the results in customers' hands.

Why this role

Founding owner of your discipline. You'll set the technical direction, standards and practices for data science in the Lab from day one, and help shape what the Lab works on.
Real operational energy data. You'll work with SCADA and IIoT time series from OnPing, lease and contract documents, revenue and joint-interest accounting, and the tickets and paperwork behind every load hauled, across a customer base of more than 2,300 companies.
Deep expertise around you. You'll work next to industry experts for every product, a peer lead in applied AI and solution engineers, so you can focus on the data science while the team brings domain depth and a route to customers.
Ownership from prototype to production. You own the data science from problem framing through modeling and evaluation, and see it through customer pilots into production.
A direct line to leadership. You report to the Chief Product Officer, and your work shapes the Pak AI roadmap.
A path to leading a team. There are no direct reports today. As Innovation Lab initiatives mature and demonstrate value, this role is set up to help build and lead the Lab's data science team.

What You'll Do

Frame problems with the industry experts. Partner with the Lab's Land, Production, Accounting and Transportation experts to turn customer pain points into well-defined, measurable data science problems, and size the opportunity.
Own the modeling. Build forecasting, anomaly detection, optimization and predictive models on production, SCADA/IIoT, accounting, transportation and geospatial data, from exploratory analysis through working prototype.
Experiment and evaluate rigorously. Design experiments, offline evaluations and pilot success metrics. Own the evidence on whether something works, and recommend when an idea should stop.
Partner with the Lead Applied AI Engineer on GenAI and agentic work. They design and build the Lab's LLM, document AI and agentic systems. You bring the data, lead evaluation design, and contribute ML and statistical models those systems can use.
Take it to customers and production with solution engineers. Partner on customer pilots, and for the ML models you own, define the data, monitoring and MLOps requirements for a clean handoff to product and engineering teams.
Stay accountable after deployment. Partner with engineering teams on production monitoring, model performance, drift detection and continuous improvement for the models you own after handoff.
Set the technical direction for data science. Define the Lab's data science approach, tooling and standards for data quality, experimentation, reproducibility and responsible ML, and raise data fluency across a cross-functional team.
Build the foundation for a future team. Document how data science works in the Lab, mentor and coach teammates, and shape the roles and hiring plan for when the Lab expands.

What You Bring

8+ years in applied ML or data science, including multiple models you built and shipped to production, used by real customers.
A track record of setting technical direction for data science work: choosing the approaches, tooling and standards that others adopted.
Experience mentoring, coaching or leading other data scientists or engineers, formally or as a technical lead.
Depth in at least one of time-series forecasting, anomaly detection or optimization on noisy, real-world data, with strong grounding in statistics, experimental design and model evaluation.
Expert Python and SQL. You're still hands-on and build the models yourself.
Working knowledge of LLM and GenAI systems, especially how to evaluate them (test-set design, metrics, human labeling, error analysis), enough to be a strong technical partner to the Lab's Lead Applied AI Engineer.
Experience working within lightweight, fast-moving software development practices that prioritize rapid experimentation, testing, customer validation and responsible production delivery.
A track record of turning ambiguous problems into shipped products with domain experts, product and engineering, influencing executives and stakeholders along the way, and the candor to say when something won't work.

Nice to have

Oil and gas, energy or industrial domain experience is a plus, not a requirement. The Lab's industry experts bring deep knowledge of every PakEnergy product, and you'll learn the domain working beside them.
Experience with SCADA/IIoT or geospatial data, or with labeling and evaluating document-extraction systems.
Databricks, Spark, Azure and/or AWS, and MLflow or similar MLOps tooling.
Experience hiring data scientists or building a data science function from an early stage.
Experience on cross-functional or innovation teams that take prototypes to customers.

Education: A degree in a quantitative field or equivalent practical experience. An advanced degree is welcome but not required.

Location: In office, Frisco, Texas or Calgary, Alberta.

FLSA Status: Exempt (US/Frisco location only).

Canadian Employment Classification: Applicable employment classification will be determined in accordance with Alberta employment standards.

Benefits: A casual business work environment, generous PTO, employer-sponsored health benefits, and a retirement savings plan (401(k) in the US).

Equal opportunity

PakEnergy is an equal opportunity employer. We welcome applicants of all backgrounds and are committed to an inclusive hiring process.

If you're excited about this role but don't check every box, we'd still like to hear from you.

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More about this job

Responsibilities

Lead data science and machine learning for the Innovation Lab, framing customer problems with industry experts and building, evaluating, and piloting models using operational energy data. Set the Lab’s data science standards and technical direction, partner with applied AI and engineering teams to move successful models into production, and monitor their performance after deployment.

Requirements

Requires 8+ years of applied machine learning or data science experience, including multiple production models, technical leadership, and mentoring or coaching experience. Candidates need expert Python and SQL skills, depth in time-series forecasting, anomaly detection, or optimization, strong statistical and evaluation expertise, and working knowledge of evaluating generative AI systems.

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
401(k)
Retirement Savings Plan

Visa sponsorship

Not detected in the job text

Keywords

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

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