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Added 6 days ago
UO
Data Analyst and Evaluation Specialist
University of Waterloo
Waterloo, ON · South Campus Hall
- Full-time
…understanding, consolidating, integrating and analyzing data associated with student success activities within the Associate Provost, Students portfolio. These include but are not limited…
Added 6 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
Professional coding expertise in languages like Python and R, proficiency in SQL, and experience with data visualization tools; skilled in using ML frameworks (TensorFlow, PyTorch) and…
Added 6 days ago
T
Data Scientist - Credit Risk (ATH 5531)
TD
Toronto, ON
- Full-time
Strong SQL skills and experience working with large, complex data sets.
Added 6 days ago
FT
Lead Software Engineer
Foreseeson Technology
Richmond, BC
- Full-time
Strong experience with full stack software experience using Python, JavaScript, C#, ASP.NET, and .NET technologies and modern software development methodologies
Added 6 days ago
CT
IT Support Specialist – Guelph, ON Canada
Connect Tech Inc.
Guelph, ON
- Full-time
PowerShell, SQL, Python, C#, AL, or other programming and scripting languages.
Added 6 days ago
P
Lead Data Scientist, Innovation Lab
PakEnergy
Calgary, AB
- Full-time
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…
Added 6 days ago
CA
Manager – Data Engineering & Platforms
Canadian Addiction Treatment Centers
Markham, ON
- $125,000 to $150,000 CAD / year
- Full-time
Reporting to the Director of Information Technology, the Manager will have primary responsibility for CATC's Azure SQL data warehouse and the Python, SQL and dbt-based pipelines,…
Added 6 days ago
SM
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 6 days ago
SM
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 6 days ago
SM
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 6 days ago
ZC
Machine Learning Engineer
Zurich Canada
Toronto, ON
- Full-time
Relevant experience: Databricks, Spark/PySpark, Delta Lake, Python, SQL, batch/streaming architectures, feature management, data-quality testing, lineage, cloud storage/compute, CI/CD and…
Added 6 days ago
ZC
Machine Learning Engineer
Zurich Canada
Waterloo, ON
- Full-time
Relevant experience: Databricks, Spark/PySpark, Delta Lake, Python, SQL, batch/streaming architectures, feature management, data-quality testing, lineage, cloud storage/compute, CI/CD and…
Added 6 days ago
AW
Data Engineer, Temporary
Aviso Wealth
Remote, Canada
- Temporary
- Remote
Implement modern data and analytics practices using tools such as Databricks, Snowflake, Salesforce, Python, and SQL
Added 6 days ago
AW
Data Engineer, Temporary
Aviso Wealth
Remote, Canada
- Temporary
- Remote
Implement modern data and analytics practices using tools such as Databricks, Snowflake, Salesforce, Python, and SQL
Added 6 days ago
R
Senior Manager, Forecast Delivery, Personal and Commercial Operations- EN
RBC
Montreal, QC
- Full-time
Proficiency in SQL and/or general-purpose programming languages (e.g., Python)
Added 6 days ago
OH
Senior Quality Assurance Engineer
Ontario Health | Santé Ontario
Toronto, ON
- Full-time
Comprehensive health coverage from day one, with fully paid medical, dental, and vision benefits to support you and your family’s health
Added 6 days ago
TH
Product Manager, Advanced Analytics, Tim Hortons, Canada
Tim Hortons
Toronto, ON
- Full-time
Familiarity with data analysis languages (e.g. SQL & Python) and modern data tools (e.g., Databricks, Snowflake, AWS, Datadog, Adobe) and analytics visualization tools.
Added 6 days ago
B
Intern, Laboratory Operations & Continuous Improvement (Winter 2027)
Bombardier
Montreal, QC
- Volunteer
Experience with Power Automate, Power Apps, VBA, Python, SQL, or similar automation tools.
Added 6 days ago
UI
Process and automation specialist
UAP Inc.
Longueuil, QC
- Full-time
Develop automated solutions (Python, VBA, SQL, Power Platform, or other relevant tools) to optimize processes related to pricing, products, and master data.
Added 6 days ago
7
AI Workflow Engineer
7shifts
Canada
- Full-time
…solutions and connecting systems through APIs. You’re comfortable with Python or a similar programming language, SQL and databases, and automation platforms such as n8n, Zapier, Make, or…
Added 6 days ago
Senior Demand Planner
HelloFresh
Toronto, ON
Proficiency in demand planning software and tools (Google Sheets, Excel, SQL, Python, Tableau) complemented with exceptional analytical and problem solving skills
Added 6 days ago
T
Senior Data Engineer
TEEMA
Vancouver, BC
- $70 to $95 CAD / hour
- Contract
Advanced proficiency with Python, Spark/PySpark and SQL.
Added 6 days ago
I
Database Automation Test Engineer
INFOYA
Toronto, ON
- $75,000 to $80,000 CAD / year
- Full-time
Excellent SQL skills with expertise in complex
Added 6 days ago
RB
Trade Support Analyst
Royal Bank of Canada
Toronto, ON
- Full-time
Other technical skills such as Python, VBA, SQL, or other automation tools.
Added 6 days ago
RB
Senior Manager, Forecast Delivery, Personal and Commercial Operations
Royal Bank of Canada
Toronto, ON
- Full-time
Proficiency in SQL and/or general-purpose programming languages (e.g., Python)

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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