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Machine Learning Analyst Jobs in Alberta (NOW HIRING)

Your strong analytical capabilities and data storytelling skills will enable you to translate ... Experience with machine learning, artificialintelligenceor advanced modelling techniques Not sure ...

Advise clients on Oracle's evolving reporting roadmap-including AI-augmented analytics, natural language querying, automated narrative insights, and embedded machine learning within Oracle Cloud ...

... analytics, reporting, and machine learning. Conducting customer-facing strategic workshops and assessments of existing data platforms to create recommendations on how to best modernize their data ...

Analyze complex functions, procedures and problems to deliver creative and effective solutions ... Experience with machine learning techniques and frameworks (e.g., RL, CNNs, RNNs, Keras)

Analyze complex functions, procedures and problems to deliver creative and effective solutions ... Experience with machine learning techniques and frameworks (e.g., RL, CNNs, RNNs, Keras)

... analysis, artificial intelligence, or machine learning. Direct experience in data warehousing, ETL/ELT processes, database design with strong verbal and written communication. Must have 5 - 8 years ...

Research activities span sensors, controls, communications, analytics (including machine learning and AI), cloud computing, embedded systems, and electronic and electro-mechanical devices. This work ...

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Machine Learning Analyst information

What are the key skills and qualifications needed to thrive as a machine learning analyst?

To thrive as a Machine Learning Analyst, you need strong analytical skills, a solid grasp of statistics and programming languages such as Python or R, and typically a degree in computer science, mathematics, or a related field. Experience with machine learning frameworks like TensorFlow or scikit-learn, data visualization tools such as Tableau, and relevant certifications (e.g., Google Data Analytics) are often expected. Excellent problem-solving, collaboration, and communication abilities help you explain complex results and work effectively with cross-functional teams. Together, these skills ensure you can accurately interpret data, build robust models, and present actionable insights that drive organizational growth.

What is a machine learning analyst?

A Machine Learning Analyst is responsible for analyzing data, building models, and extracting insights using machine learning techniques. They work with large datasets, clean and preprocess data, and apply statistical methods to drive business decisions. Their role often involves collaborating with data scientists, engineers, and business teams to optimize predictive models. Strong programming skills in Python or R, knowledge of machine learning frameworks, and experience with data visualization are essential for this role.

What does a machine learning analyst do?

Machine Learning Analysts commonly work on tasks such as collecting, cleaning, and analyzing large datasets, developing predictive models, and interpreting results to generate actionable business insights. They may also collaborate closely with data engineers, software developers, and business stakeholders to translate business problems into data-driven solutions. Regular responsibilities include preparing data visualizations, running experiments to improve model performance, and documenting their findings for non-technical audiences. This hands-on work in a team-oriented environment ensures that their analyses directly contribute to key business decisions and continuous improvement.

What are popular job titles related to Machine Learning Analyst jobs in Alberta? For Machine Learning Analyst jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Machine Learning Analyst jobs in Alberta look for? The top searched job categories for Machine Learning Analyst jobs in Alberta are:
Infographic showing various Machine Learning Analyst job openings in Alberta as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Managed Pressure Drilling (MPD) Engineer - Data Analysis Specialist

Citadel Drilling Ltd., Opla Energy

Calgary, AB โ€ข On-site, Remote

Full-time

Re-posted 4 days ago


Job description

Location: Houston, Texas or Calgary, Alberta


About Us

Opla Energy is a leader in the energy industry, providing cutting-edge drilling solutions that enhance operational efficiency and reduce costs. We specialize in Managed Pressure Drilling (MPD) and leverage technology to optimize drilling performance. Our parent company, Citadel Drilling, is service-oriented and committed to meeting client needs with a fleet of modern, technically advanced AC triple (TACT) rigs-designed to maximize efficiency while minimizing costly downtime and labor expenses.


Job Summary

We are seeking an experienced MPD Engineer with a strong background in Python programming and data analysis. The ideal candidate will have hands-on expertise in MPD operations, real-time data processing, and automation of drilling workflows. The role requires understanding of MPD methodologies, downhole dynamics, and the ability to develop analytical tools to optimize drilling performance.


Key Duties and Responsibilities

  • Manage all aspects of project planning, proposal development, and program execution for MPD wells.
  • Prepare and deliver technical presentations and detailed reports on complex MPD projects and topics.
  • Collaborate with the R&D team to support the development and enhancement of proprietary MPD software.
  • Assist the sales team in client meetings, presentations, and providing technical expertise and support.
  • Provide remote and on-site engineering support to Opla personnel and clients.
  • Ensure full compliance with Opla's safety policies, procedures, and corporate standards.
  • Deliver 24/7 engineering support for active field operations as required.
  • Design, implement, and optimize MPD strategies to enhance drilling performance and well control.
  • Develop and deploy Python-based data analysis tools for real-time drilling data monitoring and informed decision-making.
  • Analyze surface and downhole data to generate insights on wellbore pressure, flow dynamics, and drilling efficiency.
  • Work closely with drilling teams to improve MPD workflows, automation systems, and predictive modeling capabilities.
  • Ensure all MPD operations comply with applicable HSE and regulatory standards.
  • Support remote operations and assist in troubleshooting MPD systems in real time.
  • Provide technical support and feedback for MPD software improvements and new feature development.


Qualifications & Requirements

  • Bachelor's degree in Petroleum, Chemical, or Mechanical Engineering (minimum requirement).
  • Recent graduate with a minimum of 1 year of experience in drilling engineering or operations, preferably with exposure to Managed Pressure Drilling (MPD).
  • Holds or is eligible to obtain E.I.T. certification.
  • Shift work required, with a hybrid schedule split between home and Opla's office.
  • Willing to travel as needed, including occasional trips to remote sites or international locations.
  • Strong proficiency in Python and Power BI (or similar tools) for data analysis, automation, and scripting.
  • Experience with real-time drilling data, machine learning algorithms, and IoT applications.
  • Solid understanding of drilling hydraulics, pressure control, and wellbore stability.
  • Practical experience with MPD software, surface control systems, and well control methodologies.
  • Excellent communication, interpersonal, and leadership skills.
  • Demonstrated willingness to learn and collaborate effectively in a team environment.
  • Ability to work independently in a fast-paced, high-energy setting.
  • Strong organizational skills with the ability to prioritize multiple tasks effectively.
  • Consistently maintains a professional and friendly demeanor.
  • Committed to upholding Opla's Core Values.
  • Must possess a valid driver's license.

Benefits

  • Competitive salary and performance-based bonuses.
  • Opportunity to work on innovative MPD projects with advanced technologies.
  • Professional development programs and training.
  • Collaborative and inclusive work environment.