Job Title:Data Scientist, Job Requisition ID:86144, Ministry:Treasury Board & Finance, Location:Edmonton, Full or Part-Time:Full Time, Hours of Work:36.25hours per week, Permanent/Temporary/Wage: Permanent, Scope:Open Competition, Closing Date: August 10, 2026, Classification: Program Services 4, Salary: $3,148.20 to $4,126.82 bi-weekly ($82,168 - $107,710/year) Tax and Revenue Administration (TRA), Treasury Board and Finance (TBF) is responsible for the collection of revenue and the administration of Alberta’s tax, revenue and related benefit programs. The focus of our organization is to ensure a fair, efficient and effective provincial tax and revenue system. To learn more about Tax and Revenue Administration and what it has to offer, follow this link: Tax and levy payments and administration .

Are you an experienced data scientist, advanced analyst or business intelligence & analytics professional who thrives at the intersection of data, technology, and strategic decision-making? We are seeking a results-oriented Data Scientist to join our high-performing data science team within Tax and Revenue Administration (TRA). This role plays a critical part in enabling data-driven decisions through both advanced reporting and applied machine learning.

As a Data Scientist reporting to the Manager, Business Intelligence & Analytics, you will be responsible for delivering high-impact analytics and machine learning solutions that directly inform decisions, strategies, and program effectiveness. Perform exploratory data analysis (EDA) and feature engineering to support modeling efforts Design and implement data cleaning, transformation and processing logic for analytical and ML use cases Develop, validate, and maintain statistical, machine learning and neural network models to solve business problems Apply pre-trained LLMs using techniques such as prompt engineering, embeddings, and retrieval-augmented generation (RAG) Collaborate with data engineers, analysts and other stakeholders to design and support scalable data and ML pipelines Support model deployment and performance evaluation on AWS, Azure or other cloud and hybrid environments for operation Create reports, develop dashboards aligned with TRA’s strategic goals and communicate findings, assumptions, and results clearly to technical and non-technical stakeholders Ensure data quality, reproducibility,



and documentation of analytical work Promote data culture through trainings and consultative support and apply best practices for data governance, privacy, security, and ethical use of data and responsible AI Ensure compliance with Alberta’s data privacy legislation, including Protection of Privacy Act (POPA), and support TRA’s standards for ethical data use, protection, and transparency This role demands strong systems thinking, creative problem solving, experimentation, prototyping, results focus, and the agility to navigate evolving priorities and complex data challenges.

Competencies are behaviors that are essential to reach our goals in serving Albertans. Applying systems thinking helps ensure these broader impacts and interdependencies are considered.

Creative Problem

Solving – Demonstrates the ability to anticipate and assess change, adapt to shifting priorities, maintain resilience under uncertainty, and work effectively in evolving environments. Demonstrates the ability to set and accomplish priorities that support outcomes aligned with government direction, departmental objectives, and public expectations. A university degree in a relevant discipline – such as Advanced Analytics, Data Science, Artificial Intelligence, Computer Science, or Statistics – is required, along with a minimum of four years of progressively responsible experience in related roles.

The successful candidate will demonstrate solid technical and analytical capabilities, sound judgment, and a proven ability to interpret complex data and translate it into actionable insights that support evidence based policy, program delivery, and operational decision making.

Strong

Python skills and associated libraries (pandas, NumPy, scikit-learn etc.) for data processing and modeling Solid foundation in statistics (hypothesis testing, regression, probability) Hands‑on experience with core ML techniques (classification, regression, clustering, time series)



Hands‑on experience with SQL for data extraction and manipulations Experience working with data visualization tools such as Matplotlib, Seaborn, Power BI, Tableau, or similar Hands‑on experience in deploying or supporting production‑grade machine learning models with a strong emphasis on model explainability, scalability, and operational integration Working knowledge of neural networks and deep learning fundamentals Hands‑on exposure to NLP and text‑based data Experience working in cloud environment (AWS, Azure, or GCP) Experience contributing to analytics‑related initiatives including project planning, cross‑functional collaboration and solution delivery in a data‑driven environment Knowledge of Alberta’s data privacy legislation (POPA), and related policies governing the ethical handling, protection, and sharing of sensitive or personally identifiable information in analytics workflows Additional assets for this role include: Familirty with Spark or Databricks for large-scale data processing Exposure to deploying or supporting ML workloads in AWS and/or Azure (SageMaker, S3, Lambda, ECS/EKS, Azure ML, Blob Storage, Azure Functions etc.) Exposure to MLOps practices (MLflow, CI/CD for ML, model monitoring) Understanding of cloud‑based data platforms and data architectures such as lakehouse Formal certification from AWS or Azure Experience in data acquisition and integration from multiple sources. Proven ability to provide technical advice and analytical consultation to both technical teams and business stakeholders Diploma in a related field with 6 years of related experience This is a Permanent full‑time position working 36.25 hours per week, Monday to Friday (In‑office). Location is in the Terrace Building, 9515 107 Street NW, in downtown Edmonton.

Candidates may be asked to participate in a written assessment / presentation in person at the Terrace Building in Edmonton. Applicants being considered for this position will be required to complete a Level 2 Security screening (including an enhanced criminal record check along with a credit check) as part of the pre‑employment checks for this position. Any costs associated with obtaining the required documents/checks as noted or interview travel expenses, will be the responsibility of the candidate.

📌 Data Scientist - Fulltime (Edmonton)
🏢 Government of Alberta
📍 Edmonton