Data Science Engineer — ML Pipelines & Production

ARC Resources Ltd.; Calgary; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading Canadian energy company in Calgary is seeking a Data Science Engineer/Developer for their Data Analytics team. This role involves designing predictive models, maintaining ML pipelines, and collaborating across teams. Ideal candidates have a strong background in machine learning and data science principles, alongside experience with tools like Databricks and Azure. Competitive remuneration and benefits are offered.

Benefits

Competitive salary

Health insurance

Bonuses and long-term incentive programs

Wellness/healthcare spending accounts

Qualifications

• Minimum of 5 years’ experience architecting large scale enterprise data and machine learning solutions.
• Minimum of 3 years’ experience productionizing machine learning models and data pipelines following DevOps and MLOps best practices.
• Proven track record of building and deploying machine learning models.

Responsibilities

• Design, implement, and iterate on predictive models and algorithms to meet business objectives.
• Implement systems to track model drift, usage, and performance metrics.
• Maintain and optimize production ML pipelines for scalability.

Skills

Python

PySpark

Machine Learning

Data Analysis

Communication

Education

Bachelor's or Master's degree in computer science, data science, statistics, engineering, or a related field

Tools

Databricks

Github

MLflow

Azure

Job description

A leading Canadian energy company in Calgary is seeking a Data Science Engineer/Developer for their Data Analytics team. This role involves designing predictive models, maintaining ML pipelines, and collaborating across teams. Ideal candidates have a strong background in machine learning and data science principles, alongside experience with tools like Databricks and Azure. Competitive remuneration and benefits are offered.