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Added 8 mins ago
B
Project Financial Controller - – Consulting Engineering
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Added 1 hour ago
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Senior Manager, Physical Security
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Added 1 hour ago
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Added 1 hour ago
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…Strategist leverages industry knowledge to provide critical insights and will deliver compelling research, ideas and strategic recommendations for positioning a client’s business/products…

Raise

Data Scientist

Calgary, AB, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Contract Length: 12 Months (with possible extension)
Work Type: Hybrid (Mon, Tues, Thurs in office / Weds, Fri at home)
Location: Calgary, AB or Edmonton, AB, or North York, ON

Raise is currently hiring a contract team member on behalf of our client. They’re expanding their team to meet growing needs, making this a unique opportunity to work with an industry leader.

Note: The primary pay rate is based on T4 classification; however, we will also consider applications from candidates interested in an INC classification, where applicable.

Job Overview

Supply Chain Management (SCM) Data, Innovation & Analytics is seeking an experienced Data Scientist with strong Databricks expertise to design, develop, and operationalize scalable Supply Chain data products that drive measurable business value. This role combines advanced analytics, data engineering, data modeling, and product delivery capabilities to transform complex SCM data into trusted, governed, and actionable insights.
The successful candidate will work closely with Supply Chain stakeholders to develop innovative solutions that improve operational efficiency, supplier performance, spend visibility, and procurement decision-making. This position requires a strong understanding of supply chain processes, enterprise data platforms, and modern analytics technologies, with a particular focus on Databricks-based solutions.

Key Responsibilities

Develop and deliver analytics solutions that address Supply Chain business challenges by leveraging expertise in oil and gas operations, procurement, supplier performance management, spend analytics, and enterprise value drivers.
Design, build, test, and optimize scalable data models and ETL/ELT pipelines within Databricks using Python, PySpark, SQL, notebooks, workflows, and orchestration frameworks to support reliable Silver and Gold layer data products.
Transform, integrate, and model data from enterprise platforms including Oracle Cloud, SAP, Autonomous Data Warehouse (ADW), Microsoft Dataflow, Dataverse, and other approved data sources.
Create and operationalize data products that support reporting, analytics, predictive insights, and business process optimization.
Apply advanced analytics, machine learning, statistical modeling, and AI-assisted techniques where appropriate, including forecasting, classification, anomaly detection, text analytics, and natural language processing for both structured and unstructured SCM data.
Analyze unstructured data sets, such as purchase order line descriptions, supplier comments, and operational feedback, to uncover meaningful business insights and opportunities.
Utilize Databricks platform capabilities, including Notebooks, Workflows, Jobs, Unity Catalog, SQL Warehouses, Genie Code, and Lakeflow/Lakeflow Designer, to accelerate solution development while maintaining enterprise governance and technical standards.
Collaborate with business and technical stakeholders to gather requirements, define success criteria, and translate business needs into scalable analytical solutions.
Ensure data quality, integrity, performance, security, and governance across all developed solutions and data products.
Maintain comprehensive project and solution documentation, including opportunity assessments, business requirements, solution designs, technical specifications, test results, and status reports.
Communicate technical concepts, solution designs, project progress, and product outcomes to business stakeholders in a clear, concise, and non-technical manner.
Support continuous improvement initiatives by identifying opportunities to enhance Supply Chain processes, analytics capabilities, and data-driven decision-making.

Qualifications

5-7 years of relevant experience in Supply Chain Management, data analytics, data engineering, data science, or product development.
Bachelor's degree in Supply Chain Management, Commerce, Data Science, Engineering, Computer Science, Information Systems, or a related discipline.
Advanced proficiency in data science and analytics, including:
- Statistical analysis
- Predictive modeling
- Machine learning
- Sentiment analysis
- Data visualization
- AI-assisted analytics
Advanced experience analyzing and extracting insights from unstructured data sources, including purchase order descriptions, supplier communications, customer feedback, and operational records.
Expert-level proficiency in Python, PySpark, and Databricks for large-scale data processing and analytics solution development.
Hands-on experience with prompt engineering and the application of Generative AI technologies in enterprise environments.
Experience developing solutions using the Microsoft Power Platform, including:
- Copilot Studio
- Dataflow
- Dataverse
- Power Automate
- Model-Driven Apps
Strong experience building workflow automation and low-code/no-code business solutions.
In-depth knowledge of SAP and Oracle Cloud modules, including Supply Chain Management, Accounts Payable, Projects, and Finance.
Advanced SQL skills for data transformation, modeling, and performance optimization.
Experience with Alteryx for data preparation, workflow automation, and analytics is considered an asset.
Strong understanding of the oil and gas industry.
Deep knowledge of Source-to-Pay (S2P) and Procure-to-Pay (P2P) processes, procurement operations, supplier management, and associated business value drivers.
Understanding of supply chain performance metrics, operational reporting, and strategic sourcing principles.
Experience working in Agile, Waterfall, or hybrid project delivery environments.
Strong stakeholder management, consultation, and communication skills.
Ability to lead discussions, facilitate requirements gathering sessions, and manage cross-functional collaboration.
Proficiency with project documentation and business communication tools, including PowerPoint, Excel, Visio, and related productivity applications.

Looking for meaningful work? We can help

Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.

We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.

We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation: https://raise.jobs/accommodations/

To submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions), please contact us at +1 800-567-9675 or hello@raiserecruiting.com.

#ENBC26

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More about this job

Responsibilities

Develop and operationalize scalable Databricks-based supply chain data products, pipelines, and models that support reporting, predictive insights, and process optimization. Partner with stakeholders to turn business needs into governed analytical solutions, maintain data quality and documentation, and communicate outcomes clearly.

Requirements

Requires 5–7 years of relevant experience and a bachelor's degree in a related discipline, with expert-level Python, PySpark, and Databricks skills and advanced analytics and SQL capabilities. Candidates should also bring supply chain and procurement knowledge, experience with enterprise platforms and Power Platform automation, Generative AI and prompt engineering experience, and strong communication and stakeholder skills.

Skills

Databricks
Python
PySpark
SQL
Supply Chain Analytics
Data Engineering
Machine Learning
Predictive Modeling
Generative AI
Prompt Engineering
Unstructured Data Analysis
Microsoft Power Platform
SAP
Oracle Cloud
Workflow Automation
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Python
PySpark
SQL
ETL/ELT
Data Modeling
Data Engineering
Machine Learning
Predictive Modeling
Statistical Analysis
Sentiment Analysis
Natural Language Processing
Generative AI
Prompt Engineering
Unstructured Data
Unity Catalog
Databricks Workflows
Lakeflow
Microsoft Power Platform
Copilot Studio
Dataflow
Dataverse
Power Automate
Model-Driven Apps
SAP
Oracle Cloud
Autonomous Data Warehouse
Alteryx
Source-to-Pay
Procure-to-Pay

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