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Added 2 hours ago
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Research Associate
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
The MyeliNeuroGene Research Laboratory, directed by Dr. Genevieve Bernard, MD, MSc, a clinician-scientist, is looking for a motivated person to fill the position of full-time Research…
Added 8 hours ago
FH
Climate Change and Planetary Health Lead
Fraser Health
BC · Tri-Cities / Coquitlam / Port Coquitlam / Port Moody, British Columbia
- Full-time
…organizations. The Lead works with the Environmental Health Scientist and other FH staff to synthesize the rapidly evolving literature on climate change projections, health impacts, and…
Added 9 hours ago
AS
Applied Scientist, Amazon Canada Technology, Amazon Canada
Amazon Science
Vancouver, BC
- Full-time
We are hiring an Applied Scientist to join Amazon Canada Technology and push the science boundaries for Canada: the reasoning LLMs, embedding models, cross-encoder rankers, and…
Added 15 hours 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 21 hours ago
NB
Senior AI Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior AI Data scientist in the
Added 21 hours ago
Senior Data Scientist, Financial Services
Clutch Technologies Inc.
Toronto, ON
…financial services offering, and we're hiring a Senior Data Scientist to help shape what it…
Added 1 day ago
CR
Scientist I
Charles River Laboratories
Montreal, QC
- Full-time
As a Scientist for our Immunogenicity team at the Senneville location, you will collaborate with the Analysts and other technical staff in scientific matters associated with the conduct,…
Added 1 day ago
TS
Senior Applied Machine Learning Scientist, Generative AI Model Validation ATH# 5480
TD Securities
Montreal, QC
- Full-time
Added 1 day ago
CR
Research Scientist II - Musculoskeletal Research Department
Charles River Laboratories
Montreal, QC
- Full-time
As a Research Scientist II for our Musculoskeletal Research team at the Senneville location, you will be responsible for planning, coordinating, and overseeing study activities to ensure…
Added 1 day ago
RB
Lead Data Scientist
Royal Bank of Canada
Toronto, ON
- Full-time
As a Lead Data Scientist in the Governance & Insights team, you will build the standards, patterns, and tools that enable RBC's AI transformation at scale. You'll be the architect behind…
Added 1 day ago
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Data Scientist
Affinity
Vancouver, BC
- Contract
On behalf of our public-sector client, Affinity is seeking a Data Scientist. The successful candidate will develop machine learning, generative AI, and agentic AI solutions using…
Added 1 day ago
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Data Scientist
Numeris
Toronto, ON
- Full-time
Numeris is seeking a Data Scientist who will be responsible for designing, developing, validating, and monitoring advanced analytics, statistical models, machine learning solutions, and…
Added 1 day ago
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Senior Applied Machine Learning Scientist, Generative AI Model Validation ATH# 5480
TD
Toronto, ON · Montreal, QC
- Full-time
Added 1 day ago
IG
Senior Data Scientist
Insight Global
Toronto, ON
- $140,000 to $150,000 CAD / year
- Full-time
Insight Global is looking for a Senior Data Scientist to help build out a data science capability and turn enterprise data into proactive, actionable business insights. This will be a…
Added 1 day ago
OD
R&D Category Manager
One Degree Organic Foods
Mission, BC
- $76,700 to $94,300 CAD / year
- Full-time
You are a scientist and a connoisseur of food. You enjoy being on the cutting edge of food science and technology.
Added 1 day ago
OD
R&D Category Manager
One Degree Organic Foods
Mission, BC
- Full-time
You are a scientist and a connoisseur of food. You enjoy being on the cutting edge of food science and technology
Added 1 day ago
Applied Scientist, Amazon Canada Technology, Amazon Canada
Amazon
Vancouver, BC · Toronto, ON
We are hiring an Applied Scientist to join Amazon Canada Technology and push the science boundaries for Canada: the reasoning LLMs, embedding models, cross-encoder rankers, and…
Added 1 day ago
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Data Science Expert (Up to $160/hr)
Huzzle.com
Canada
- Contract
Experience as a data scientist at a top technology company.
Added 1 day ago
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Lead Data Scientist
RBC
Toronto, ON
- Full-time
As a Lead Data Scientist in the Governance & Insights team, you will build the standards, patterns, and tools that enable RBC's AI transformation at scale. You'll be the architect behind…
Added 1 day ago
AG
Data Scientist (Master's) - Montreal (2027 Start Date) | Scientifique des données (diplôme de maîtrise) - Montréal (Date de début 2027)
Analysis Group
Montreal, QC
- Full-time
Added 1 day ago
AG
Senior Data Scientist (PhD) - Montreal (2027 Start Date) | Scientifique des données senior (diplôme de doctorat) - Montréal - (Date de début 2027)
Analysis Group
Montreal, QC
- Full-time
Added 1 day ago
LC
Data Science II
Loblaw Companies Limited
Brampton, ON
- Full-time
Data Scientist II, Business & Customer Insights, Brampton, ON
Added 1 day ago
SL
Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Reporting to the Data Science Manager as a Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of advanced analytics in driving…
Added 1 day ago
SM
Senior Data Scientist
Sago Mini
Toronto, ON
- $100,000 to $115,000 CAD / year
- Full-time
Added 1 day ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time

AgileGrid Solutions

Lead Data Scientist

Canada

Full-time

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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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