Senior Data Scientist, Hockey Analytics & ML Ops

Edmonton Oilers; Alberta; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading NHL organization in Canada is seeking a Senior Data Scientist for their Hockey Analytics & Technology group. The role involves developing advanced machine learning models to enhance player evaluation and team strategy. Candidates should have a Bachelor's degree in Data Science or related fields and over 5 years of experience in data science, preferably in sports. Strong skills in Python, MLOps, and experience with Azure and Databricks are essential. Join a fast-paced environment that values innovation and collaboration.

Benefits

Competitive salary and benefits package

Qualifications

• 5+ years in data science or analytics, ideally within sports.
• Deep familiarity with hockey metrics and analytics.
• Experience with machine learning algorithms and ETL pipelines.

Responsibilities

• Develop ML models for player evaluation and game strategy.
• Lead R&D for new analytics models.
• Collaborate with developers and domain experts.

Skills

Python (pandas, scikit‑learn, numpy)

MLOps/ModelOps

Data Science

Statistical modeling

Communication skills

Education

Bachelor’s degree in Data Science, Statistics, Computer Science, Operations Research, Applied Mathematics

Tools

Azure

Databricks

PowerBI

Streamlit

Job description

A leading NHL organization in Canada is seeking a Senior Data Scientist for their Hockey Analytics & Technology group. The role involves developing advanced machine learning models to enhance player evaluation and team strategy. Candidates should have a Bachelor's degree in Data Science or related fields and over 5 years of experience in data science, preferably in sports. Strong skills in Python, MLOps, and experience with Azure and Databricks are essential. Join a fast-paced environment that values innovation and collaboration.