Data Scientist: ML, NLP & AI for Strategic Analytics

Royal Alberta Museum; Edmonton; On-site; CAD 82,000 - 108,000; Full time

Job summary

Tax and Revenue Administration (TRA) within the Government of Alberta is seeking a Data Scientist to join our analytics team in Edmonton. You will deliver high-impact analytics, ML models, and NLP solutions to inform policy, program delivery, and operations.

Responsibilities include data wrangling, model development, deployment support in cloud environments (AWS/Azure), dashboard creation, and collaboration with cross-functional teams while ensuring data quality and privacy compliance under POPA.

Qualifications

• University degree in a relevant discipline plus four years of progressively responsible experience.
• Equivalency: 1 year of education for 1 year of experience or 1 year of experience for 1 year of education.
• Strong Python skills and ML fundamentals; NLP exposure; cloud experience.

Responsibilities

• Analyze large structured and unstructured datasets to identify trends and insights.
• Perform EDA and feature engineering for modeling.
• Develop and maintain ML models and NLP solutions.
• Collaborate with data engineers and stakeholders to build scalable pipelines.
• Support deployment and evaluation of models in cloud environments (AWS/Azure/GCP).
• Create dashboards and communicate findings to technical and non-technical audiences.

Skills

Python

ML techniques

NLP

Data visualization

Communication

Education

University degree in a relevant discipline (Advanced Analytics, Data Science, AI, CS, Statistics)

Tools

Python

SQL

Power BI

Tableau

PyTorch

TensorFlow

AWS

Azure

GCP

Spark/Databricks

Job description

Tax and Revenue Administration (TRA) within the Government of Alberta is seeking a Data Scientist to join our analytics team in Edmonton. You will deliver high-impact analytics, ML models, and NLP solutions to inform policy, program delivery, and operations.

Responsibilities include data wrangling, model development, deployment support in cloud environments (AWS/Azure), dashboard creation, and collaboration with cross-functional teams while ensuring data quality and privacy compliance under POPA.