Job Description

Data Scientist (Fabric) (Contract)


Vancouver, BC, Canada (On-site)
Contract (1 month 18 days)
Published 18 hours ago
Dataflow Gen2, ML pipelines
Data science, machine learning, AI modeling, Microsoft Fabric, Power BI, analytics consulting
Python, SQL, PySpark
Large - scale data processing, structured/unstructured datasets
Microsoft Fabric platform integration
Operational model management, ML deployment practices
Power BI, Pandas, NumPy, SciPy, Scikit - Learn
We are seeking a

Data Scientist (Fabric)

to design and deliver AI-driven analytics solutions using Microsoft Fabric and related technologies. This role requires advanced proficiency in data science, machine learning, and modern data architecture with a focus on Microsoft Fabric Data Science and Power BI. You will be responsible for translating business challenges into scalable models and insights that inform decision-making across industries.

Key Responsibilities:

Design and implement scalable data science solutions using Microsoft Fabric and Dataflow Gen2 Develop predictive and prescriptive models using advanced machine learning algorithms Collaborate with cross-functional teams to collect, clean, analyze, and interpret large datasets Leverage Python, SQL, and PySpark to build models, dashboards, and workflows for analytics pipelines Work with global teams to deploy solutions across industries such as Media, Retail, Manufacturing, Telecom, and Energy Visualize insights through Power BI and translate findings into actionable business strategies Present analytical outcomes and recommendations to client executives and stakeholders Stay up-to-date with new technologies and innovations in AI, machine learning, and data engineering

Technical Profile:

Proficiency in Microsoft Fabric (Data Science, Power BI, Dataflow Gen2) Advanced understanding of machine learning algorithms: regression, classification, clustering, random forests, GBM, SVM, DNN, etc. Strong programming skills in Python, SQL, PySpark Familiarity with key Python libraries: Pandas, NumPy, SciPy, Scikit-Learn Knowledge of calculus, linear algebra, statistics, and probability Background in data processing and engineering across structured and unstructured data Understanding of operational ML lifecycle and model deployment in enterprise environments

Functional Profile:

Demonstrated ability to solve business problems using data science and analytics Industry exposure across Media, Retail, High Tech, Energy, Automotive, Manufacturing, etc. Experience in agile innovation and digital transformation projects Effective in collaborating with both technical and non-technical stakeholders Capable of working in fast-paced, client-facing environments and managing multiple priorities

Skills Summary:

Core Expertise:

Data science, machine learning, AI modeling, Microsoft Fabric, Power BI, analytics consulting

Languages & Frameworks:

Python, SQL, PySpark

Reactive & Event-Driven Tools:

Dataflow Gen2, ML pipelines (within Fabric)

Cloud & Containerization:

Microsoft Fabric platform integration

Database & Messaging:

Large-scale data processing, structured/unstructured datasets

DevOps & CI/CD:

Operational model management, ML deployment practices

Other Tools & Technologies:

Power BI, Pandas, NumPy, SciPy, Scikit-Learn

Soft Skills:

Critical thinking, storytelling with data, stakeholder communication, analytical decision-making, cross-functional collaboration