Job SummaryTitle:Data Scientist –Requisition ID:82348 –Ministry:Treasury Board & Finance –Location:Edmonton –Classification:Program Services 4 –Salary:$82,168 to $107,710 per yearKey ResponsibilitiesAnalyze 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 machine‑learning 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 large language models using techniques such as prompt engineering, embeddings, and retrieval‑augmented generation (RAG).Collaborate with data engineers, analysts and stakeholders to design and support scalable data and ML pipelines.Support model deployment and performance evaluation on AWS, Azure or other cloud/hybrid environments.Create reports and develop dashboards aligned with strategic goals and communicate findings to technical and non‑technical stakeholders.Ensure data quality, reproducibility, and documentation of analytical work.Promote a data culture through training, consultative support, and best practices for data governance, privacy, security, and ethical AI.Ensure compliance with Alberta’s data privacy legislation, including the Protection of Privacy Act (POPA).Core QualificationsUniversity degree in Advanced Analytics, Data Science, AI, Computer Science, Statistics or related field.Minimum of four years of progressively responsible experience in related roles.Strong Python skills and libraries (pandas, NumPy, scikit‑learn, etc.).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 manipulation.Fluency in developing dashboards and reports using visualization tools (Matplotlib, Seaborn, Power BI, Tableau, etc.).Experience deploying or supporting production‑grade machine‑learning models with emphasis on 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 in a cloud workplace (AWS, Azure, or GCP).Strong communication skills for presenting analytical results clearly.Commitment to continuous learning and staying current with emerging technologies.Experience contributing to analytics‑related initiatives, including project planning and cross‑functional collaboration.Knowledge of Alberta’s data privacy legislation (POPA).Additional AssetsExperience with deep‑learning frameworks (PyTorch, TensorFlow).Experience with Spark or Databricks for large‑scale data processing.Experience deploying or supporting ML workloads in AWS and/or Azure (SageMaker, S3, Lambda, ECS/EKS, Azure ML, Blob Storage, Azure Functions).Experience with 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 architectures such as lakehouse.Formal certification from AWS or Azure.Experience in data acquisition and integration from multiple sources and providing analytical consultation to both technical teams and business stakeholders.CompetenciesSystems thinking – considering broader impacts and interdependencies within the APS.Creative problem solving – assessing options and implications in new ways.Agility – anticipating change, adapting to shifting priorities, and maintaining resilience under uncertainty.Drive for results – setting and accomplishing priorities aligned with government direction and public expectations.#J-18808-Ljbffr

📌 Data Scientist - C$82,168 - C$107,710 A Year (Toronto)
🏢 Treasury Board & Finance
📍 Toronto