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Added 1 hour ago
Q
Customer Success Operations Analyst
Quadient
Markham, ON
- $52,000 to $75,000 CAD / year
- Full-time
…is ideal for a technically minded, highly organized process engineer who enjoys turning complex, manual workflows into clear, scalable operations in a fast-paced SaaS…
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AI Lead Engineer, Technical Lead - Services AI Platform
Citi
Mississauga, ON
- Full-time
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Added 2 hours ago
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Cybersecurity Engineer (IT Security)
MATS Research
Canada
- Full-time
…the research infrastructure side functioning until a second engineer…
Added 3 hours ago
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Product Development Engineer
Husky Technologies
Bolton, ON
- Full-time
Our Development Engineering team is looking to hire an experienced Product Development Engineer. The successful candidate will lead the technical development of packaging products working…
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Applications Engineer
Husky Technologies
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- Full-time
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Added 5 hours ago
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Senior AI Engineer
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ON · Ontario, Canada
- Full-time
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Added 5 hours ago
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Lead Data Scientist, Innovation Lab
PakEnergy
Calgary, AB
- Full-time
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.
Added 5 hours ago
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Portfolio Manager
Worley
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- Full-time
Advanced proficiency with integrated project management systems (e.g., SAP, EcoSys, Primavera P6).
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- Full-time
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RQ11486 – Data Ops/Cloud Data Engineer – Senior
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Toronto, ON
- Internship
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RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
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- Internship
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Added 5 hours ago
WI
Principal Rock Mechanics Engineer - Underground & Mass Mining
WSP in Canada
Sudbury, ON · Greater Sudbury, ON
- Full-time
Translate complex geomechanics into practical mine designs. As a Principal Rock Mechanics Engineer - Underground and Mass Mining, you will provide senior technical leadership on deep,…
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RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms.…
Added 5 hours ago
WI
Principal Rock Mechanics Engineer - Underground & Mass Mining
WSP in Canada
Saskatoon, SK
- Full-time
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Added 5 hours ago
WI
Principal Rock Mechanics Engineer - Underground & Mass Mining
WSP in Canada
Toronto, ON
- Full-time
Translate complex geomechanics into practical mine designs. As a Principal Rock Mechanics Engineer - Underground and Mass Mining, you will provide senior technical leadership on deep,…
Added 5 hours ago
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Principal Rock Mechanics Engineer - Underground & Mass Mining
WSP in Canada
Montreal, QC
- Full-time
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Added 5 hours ago
WI
Principal Rock Mechanics Engineer - Underground & Mass Mining
WSP in Canada
Calgary, AB
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Translate complex geomechanics into practical mine designs. As a Principal Rock Mechanics Engineer - Underground and Mass Mining, you will provide senior technical leadership on deep,…
Added 5 hours ago
WI
Principal Rock Mechanics Engineer - Underground & Mass Mining
WSP in Canada
Vancouver, BC
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Added 6 hours ago
Sr. Software Development Engineer, AWSBA Service Care Center (SCC)
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Vancouver, BC
Are you passionate about leveraging GenAI and advanced AWS technologies to simplify builder experience and accelerate innovations at AWS scale? We are building a new organization, AWS…
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Lead Material Handling Engineer
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Solution Engineer - Apps & Agents
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…exceptional employee and customer experiences. By integrating advanced AI capabilities across devices, cloud platforms, and everyday business applications, we help organizations realize…
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Solution Engineer - Apps & Agents
Microsoft
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Added 6 hours ago
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MEP VDC/BIM Specialist
CadMakers
Burnaby, BC
- $75,000 to $95,000 CAD / year
- Full-time
Advanced Autodesk Revit MEP skills: worksharing, linked models, shared coordinates, system modeling, families, views and sheets
Added 6 hours ago
C
MEP VDC/BIM Specialist
CadMakers
Remote, Canada
- $75,000 to $95,000 CAD / year
- Full-time
- Remote
Advanced Autodesk Revit MEP skills: worksharing, linked models, shared coordinates, system modeling, families, views and sheets
Added 7 hours ago
Sr. Engineer, Staff Analog Design
SiTime Corporation
Ottawa, ON
SiTime is seeking a Senior Staff Analog Design Engineer to provide technical leadership in developing advanced clock and timing products. This role combines hands-on circuit design…

PakEnergy

Lead Data Scientist, Innovation Lab

Calgary, AB, Canada

Full-time

Apply About employer

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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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