Jobs in Canada

Group jobs by employerSave search & get alerts

Added 1 month ago
Product Development Engineering Technologist
Trudell Medical Group
London, ON
Develop experimental plan with project DRE (Design Responsible Engineer)
Added 1 month ago
A
Senior Full Stack AI-Native Engineer
Accenture
Mississauga, ON
- $100,300 to $216,700 CAD / year
- Full-time
This is a hybrid role in Mississauga and requires 3 days per week in the office
Added 1 month ago
A
Full Stack AI-Native Engineer
Accenture
Mississauga, ON
- $65,350 to $115,350 CAD / year
- Full-time
This is a hybrid role in Mississauga and requires 3 days per week in the office
Added 1 month ago
RI
Azure Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
We are seeking highly skilled Azure Data Engineer with strong expertise in SQL, Python, Datawarehouse, Cloud ETL tools to join our data team. The ideal candidate will design, implement and…
Added 1 month ago
Senior QA Engineer, AI & Automation
CSC Generation
Canada
Strong proficiency in TypeScript/JavaScript or Python (Java a plus); you write test code to the same standard as production code.
Added 1 month ago
T
Software Engineer, AI/ML Infrastructure
Thumbtack
Remote, Canada
- Full-time
- Remote
As a Software Engineer on the ML Infrastructure team, you will work closely with product and platform engineering teams to build and evolve core AI platform capabilities. You will help…
Added 1 month ago
UM
Test Engineer
Ultra Maritime
Dartmouth, NS
- Full-time
Strong programming skills in Python for test development and automation.
Added 1 month ago
R
Wafer Product Engineer
Ranovus
Ottawa, ON
- Full-time
We are seeking an experienced Wafer Product Engineer to lead characterization, yield analysis, statistical validation, and manufacture readiness for semiconductor products from NPI through…
Added 1 month ago
H
Full Stack Engineer
Hays
Toronto, ON
- Contract
Added 1 month ago
E
Sr. Data Scientist
Eneon-ES
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Full-time
…industries. We are a tight-knit team of seasoned professionals who engineer, integrate, and operate premium BESS solutions across North…
Added 1 month ago
P
Machine Learning Engineer
Point11
Toronto, ON · Greater Toronto Area, Canada
- Full-time
You're strong in Python and the modern ML stack
Added 1 month ago
PI
Photonic Test Engineer
Photonic Inc.
Coquitlam, BC
- $97,300 to $133,800 CAD / year
- Full-time
…photonic circuits at cryogenic temperatures. As a Photonics Test Engineer, you are a specialist in testing photonic on-chip devices and are familiar with evaluating and improving their…
Added 1 month ago
ZG
Senior IT Security Engineer
Zema Global Data Corporation
Vancouver, BC
- $110,000 to $135,000 CAD / year
- Full-time
The Senior Security Engineer is a key contributor to securing a cloud-first, DevSecOps driven environment, responsible for embedding security into cloud platforms, with a strong focus on…
Added 1 month ago
E
Senior Data Engineer
Extendicare
Markham, ON · Extendicare (Canada) Inc (Steeles Ave.)
- Full-time
Reporting to the Sr. Manager, Data Architecture, the Senior Data Engineer will play a key role in designing, building, and modernizing enterprise data integrations that support business…
Added 1 month ago
A
Infrastructure Engineer
Astek
Montreal, QC
- Full-time
Develop and maintain automation scripts using PowerShell, Python, Perl, or Shell to streamline operations.
Added 1 month ago
TI
Security Engineer
TitanFile Inc.
Toronto, ON
- Full-time
TitanFile is looking for a Security Engineer who is personable, persistent, and confident. A person who is passionate about learning new technologies and improving the skills they already…
Added 1 month ago
Lead AI/Data Engineer
Dutch
Vancouver, BC
We're looking for a hands-on Lead AI/Data Engineer to build and scale the AI systems powering Dutch. You'll
Added 1 month ago
T
Big Data Engineer
Talenzaa
Mississauga, ON
- Full-time
Core Languages: Mastery of Python (object-oriented design patterns, scripting) and strong proficiency in advanced SQL (window functions, CTEs, complex joins).
Added 1 month ago
H
Automation Engineer
HCLTech
Vancouver, BC
- $55,000 to $60,000 CAD / year
- Full-time
Must have expert level:
Added 1 month ago
TD
Director of AI Content Systems, Marketing
Time Doctor
Remote, Canada
- Contract
- Remote
You're not a software engineer, but you think like one. You're as comfortable vibe coding and building agents as you are customizing WordPress, writing brand guidelines, or proofreading a…
Added 1 month ago
CI
Lead Software Engineer, Simcorp, Risk & Total Fund Management Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
As Lead Software Engineer, Risk & TFM Technology, you will guide and participate in the end-to-end design, development, testing and support of technology solutions for the SimCorp team. You…
Added 1 month ago
AB
DevOps Automation Engineer (OpenShift / .NET / CI/CD)
Ateko, backed by Bell Canada
Mississauga, ON
- Contract
We are seeking an experienced DevOps Automation Engineer to join a high-performing Agile Scrum team responsible for supporting a large portfolio of enterprise applications. The team is…
Added 1 month ago
Software Escalation Engineer (Python)
Varonis
Canada
The Role: We are searching for a highly motivated Escalation Engineer (Tier-IV) to join our growing team! The Escalation Engineer must learn fast and adopt to quickly changing technology…
Added 1 month ago
MC
Technical Lead Data
MMC Corporate
Toronto, ON
- Other
…who can whiteboard a data model in the morning, pair with an engineer on a tricky pipeline in the afternoon, and present a delivery plan to a business stakeholder before end of day. You…
Added 1 month ago
P
Principal Software Engineer
Photon-IV
Canada
- Full-time
Principal Software Engineer, Satellite Systems

Eneon-ES

Sr. Data Scientist

Toronto, ON, Canada
Greater Toronto and Hamilton Area, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 8 to 15 years of applied experience in data science, data engineering, or quantitative analytics working with operational data from physical systems
Posting language: English
Posted: Oct 14, 2026

Original job description

Sr. Data Scientist

Position Type: Full Time

Location: Toronto, ON (remote-hybrid)

Employer Description

Eneon is a leading Battery Energy Storage System (BESS) company and one of the fastest growing in the renewable energy and energy management industries. We are a tight-knit team of seasoned professionals who engineer, integrate, and operate premium BESS solutions across North America.

Eneon is an opportunity to hit the ground running with a growing organization, to be a part of its growth, and to help drive the global energy transformation at large. Eneon is also an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We believe diverse teams and diverse perspectives lead to better outcomes and breakthrough thinking, which are differentiators in any business and fundamental to our long-term success.

Position Description

The Sr. Data Scientist will be responsible for transforming Eneon’s operational telemetry into reliable, actionable data systems that support decision-making across the company. As Eneon’s first data scientist, this position will define the company’s data strategy, owning the full lifecycle from raw operational data through analysis, modeling, and deployment into production data systems. This role spans both data science and data engineering.

Key responsibilities include:

Data Strategy & Architecture

Define and own Eneon’s operational telemetry data strategy, from raw historian data to curated analytical datasets
Set data resolution, aggregation/downsampling, and retention approaches appropriate for analytics and reporting
Design retention policies balancing analytical value, OEM/warranty requirements, cost, and accessibility
Establish analytical schemas and standards so telemetry is interpretable, trustworthy, and consistently modeled

Data Engineering & Pipeline Development

Design, build, and maintain pipelines from production historian systems to analytical data stores
Own the transformation layer, ensuring logic is explicit, reviewable, and production-ready
Keep pipelines documented, version-controlled, reproducible, and maintainable by others

Applied Data Science & Modeling

Lead end-to-end data science work (preprocessing, EDA, feature engineering, model development, training, and evaluation)
Develop predictive models for reliability use cases (e.g., predictive maintenance and failure-risk reduction)
Apply sound methods to fleet performance, diagnostics, degradation, anomaly detection, and forecasting problems
Build proof-of-concepts to validate feasibility and value before scaling

Production & Operation

Deploy models and analytical systems into production environments for inference, reporting, and logging
Define and document model inputs, outputs, assumptions, limitations, and failure modes
Design analytical systems for long-term operation, handoff, and ownership beyond a single contributor

Cross-Functional Collaboration & Enablement

Collaborate with SCADA & OT engineers on data capture, tagging, historian configuration, and data models that enable analytics
Partner with engineering, product, architecture, and operations teams to translate system data into insights and decisions
Support design and validation of customer-facing metrics/KPIs that are accurate, meaningful, and actionable
Communicate methods and results (including limitations) to technical and non-technical stakeholders

Governance & Quality

Ensure analytical pipelines, models, and datasets adhere to internal standards for quality, documentation, and maintainability
Promote explainable, transparent methods suitable for review and use by engineers and other stakeholders

Required Qualifications

8 to 15 years of applied experience in data science, data engineering, or quantitative analytics working with operational data from physical systems
A Bachelor’s degree in a quantitative discipline (statistics, mathematics, physics, computer science, engineering, or equivalent). A Master’s degree or Ph.D. is preferred
Deep experience with time series data from physical assets: high-frequency, small-packet-size sensor data with the associated realities of noise, missing data, communications dropouts, and sensor drift
Strong proficiency with time series databases (e.g., InfluxDB, TimescaleDB, historian-native storage such as OSIsoft PI or similar) including schema design, query optimization, and retention policy implementation
Proficiency in Python for data analysis, modeling, and pipeline development
Experience with SQL and relational databases for structured data retrieval and integration
Practical experience building data transformation pipelines and moving raw operational data into curated, queryable analytical datasets
Experience designing data retention and downsampling strategies for high-volume operational data
Experience building, validating, and deploying predictive models on real-world operational data, not only curated academic datasets
Ability to work independently under ambiguous requirements with minimal supervision
Strong communication skills with the ability to translate analytical findings into clear recommendations for both technical and business audiences
Professional maturity and judgment to exercise technical authority responsibly as the company’s sole data science practitioner

Assets

Experience in energy storage, power systems, renewable energy, or utility-scale infrastructure
Experience with predictive maintenance or condition-based monitoring in industrial or fleet operations environments
Familiarity with battery degradation modeling, state-of-health estimation, or electrochemical system analytics
Experience with industrial data environments: OPC-UA, MQTT, Modbus, or SCADA-adjacent data sources
Background in process manufacturing, oil & gas, fleet operations, or other domains with high-frequency physical asset data
Experience with cloud-based analytics platforms (Azure, AWS, or GCP) for time series workloads
Familiarity with data visualization tools (Grafana, Plotly, or similar) for operational data exploration
Experience with statistical process control, anomaly detection, or change-point detection on streaming data
Exposure to ISA-88/95 data modeling concepts or Unified Namespace architectures
Experience operationalizing ML models in production environments - model deployment, monitoring, retraining pipelines
Familiarity with Git, CI/CD, and software engineering practices applied to data science workflows

A note on the use of AI in our hiring process: We use AI-enabled tools to help sort and assess applications against core job-related criteria (such as skills, experience, and qualifications). AI does not make hiring decisions. The members of our hiring team review results carefully and make all final decisions. Your application materials are used only for the purpose of evaluating your candidacy for this role.

Finally, a note on qualifications: Even if you don't have every listed requirement, but you feel strongly about this role and believe you'd bring value, we encourage you to apply. We'd rather hear from someone who's genuinely excited about the work than miss out because they didn't tick every box!

Thank you for your interest in a career at Eneon!

Apply on LinkedIn About employer

More about this job

Responsibilities

Define Eneon’s operational telemetry data strategy and build reliable, maintainable pipelines that transform raw historian data into curated analytical datasets. Develop and deploy predictive models and production analytics for asset reliability and fleet performance, while collaborating with engineering and operations teams and communicating results and limitations.

Requirements

Requires 8–15 years of applied experience in data science, data engineering, or quantitative analytics with operational data from physical systems, plus a bachelor’s degree in a quantitative discipline; a master’s degree or Ph.D. is preferred. Candidates need strong time-series and time-series database expertise, proficiency in Python and SQL, experience building data pipelines and deploying predictive models, and the ability to work independently and communicate findings clearly.

Skills

Time Series Data Analysis
Data Strategy
Data Architecture
Data Engineering
Python
SQL
Time Series Databases
Data Pipeline Development
Predictive Modeling
Predictive Maintenance
Feature Engineering
Anomaly Detection
Forecasting
Model Deployment
Data Retention and Downsampling
Cross-Functional Communication

Visa sponsorship

Not detected in the job text

Keywords

Battery Energy Storage Systems
Operational Telemetry
Data Strategy
Data Architecture
Time Series Data
Historian Systems
InfluxDB
TimescaleDB
OSIsoft PI
Python
SQL
Relational Databases
Data Pipelines
Data Transformation
Predictive Maintenance
Reliability Modeling
Battery Degradation Modeling
State-of-Health Estimation
Anomaly Detection
Forecasting
SCADA
OPC-UA
MQTT
Modbus
Cloud Analytics
Grafana
Plotly
Statistical Process Control
Git
CI/CD

Report this job

Work requirements

Jobs in Canada