Job Information

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 .

Role Responsibilities 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.

Key Responsibilities:

Analyze large, complex structured and unstructured datasets to identify trends, patterns, and actionable insights

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

Develop NLP solutions such as text classification, information extraction, summarization, and document similarity

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. We encourage you to have an in depth understanding of the competencies that are required for this opportunity and to be prepared to demonstrate them during the recruitment process.

In this role, you will contribute to our team by demonstrating aspects of all the competencies, with particular focus on the following:

Systems Thinking

– Work within the APS takes place in a broader, integrated, and inter related environment. Actions in one area may impact multiple groups and initiatives both within and outside the APS. Applying systems thinking helps ensure these broader impacts and interdependencies are considered.

Creative Problem Solving

– Demonstrates the ability to assess options and their implications in new ways, enabling the development of effective and sustainable outcomes and solutions.

Agility

– Demonstrates the ability to anticipate and assess change, adapt to shifting priorities, maintain resilience under uncertainty, and work effectively in evolving environments.

Drive for Results

– Demonstrates the ability to set and accomplish priorities that support outcomes aligned with government direction, departmental objectives, and public expectations.

This link will assist you with understanding competencies.

Qualifications 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 strong 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.

Key skills and qualifications include:

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

Fluency in developing strategic, decision‑focused dashboards and reports

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 solid 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

Familiarity with LLM concepts such as embeddings, prompt design, and model APIs

Experience working in cloud environment (AWS, Azure, or GCP)

Ability to communicate analytical results clearly and concisely





Strong commitment to continuous learning and staying current with emerging technologies, applying new approaches where appropriate to support organizational outcomes

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

Qualifications Continued Additional assets for this role include:

Experience with deep learning frameworks (PyTorch, TensorFlow)

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 ETL vs ELT patterns and their application in analytics and reporting

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

Equivalencies of directly related education or experience considered on the basis of:

1 year of education for 1 year of experience; or 1 year of experience for 1 year of education.

Diploma in a related field with 6 years of related experience

Please include a cover letter with your application. The cover letter should clearly demonstrate how your experience, knowledge, and skills align with the qualifications and competencies required for this role, supported by relevant examples. Your cover letter will also be used to assess your written communication skills. Applications submitted without a cover letter may not be considered and may be screened out during the initial review process.

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.

Candidates with lesser qualifications may be considered at a lower classification and salary. This competition may be used to fill current and future vacancies at equal or lesser classification across the Government of Alberta.

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. Out‑of‑province applicants can obtain the required documents/checks from the province they currently reside in.

If you require any further information on this job posting or require an accommodation during the recruitment process, please contact Connie Piosca at [email protected] .

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