Data Scientist (Fabric) (contract)

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