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Data Scientist

Government of Alberta
Edmonton, AB

Apply Now

Job details

Permanent
15 hours ago

Skills

TensorFlow
CI/CD
Power BI
Azure
Business intelligence
Law
PyTorch
Spark
NumPy
Google Cloud Platform
Tableau
SQL
Pandas
AWS
Bachelor's
Machine learning
Natural language processing
APIs
S3
Data visualization
Model evaluation
Communication skills
Data warehouse
Python
Analytics

Full job description

Job Information

Job Requisition ID: 86144
Ministry: Treasury Board & Finance
Location: Edmonton
Full or Part-Time: Full Time
Hours of Work: 36.25 hours 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)

About us:

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.

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
Monitor model performance, data quality, data drifts, and pipeline reliability
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.

Please

APS Competencies

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 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
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.

Minimum recruitment standards outline the minimum education and experience required for appointment to a job classification.

Notes

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.

What the Government of Alberta has to offer:

Working for the Alberta Public Service
Public Service Pension Plan (PSPP)
Alberta Public Service Benefit Information
Professional learning and development
Research Alberta Public Service Careers tool
Positive workplace culture and work-life balance.
Leadership and mentorship programs.

How To Apply
Applicants are advised to provide information that clearly and concisely demonstrates how their qualifications meet the advertised requirements, including education, experience, and relevant examples of required competencies.

Make sure to include a cover letter that clearly demonstrates how your experience, education and skills align with this position. In your resume, please include dates (including months and years) associated with all education and work experience. For example, January 2006 - June 2009 (part-time). This example is provided for illustrative purposes only. Applicants are encouraged to present their information clearly and thoroughly, using a format that best conveys their experience.

It is recommended that applicants include the assessment certificate from IQAS or any other educational assessment service as part of their application.

Closing Statement
This competition may be used to fill future vacancies, across the Government of Alberta, at the same or lower classification level.

We thank all applicants for their interest. All applications will be reviewed to determine which candidates' qualifications most closely match the advertised requirements. Only individuals selected for interviews will be contacted.

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].

Apply Now

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Data Scientist

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Data and Business Analyst

Senior Business Data Scientist, Marketing

Senior Software Engineer

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