Senior Data Scientist - Power Bi & AI

Johnson & Johnson Johnson & Johnson · Pharma · New Brunswick, NJ +1

Senior Data Scientist role focused on building and optimizing Power BI semantic models and analytics solutions, integrating data science outputs, and enabling AI-powered experiences within Microsoft Fabric. This is primarily a BI and analytics engineering role.

What you'd actually do

  1. Design, develop, and maintain enterprise-grade Power BI semantic models that integrate financial data and data science outputs to support decision-making.
  2. Build and optimize trusted, analysis-ready datasets using SQL, PySpark, and modern data modeling practices.
  3. Apply best practices in Power BI development, including DAX optimization, dimensional modeling, workspace governance, security, and performance tuning.
  4. Prepare data for AI and Copilot-enabled analytics experiences by simplifying schemas, setting up verified answers, and authoring domain-specific instructions.
  5. Design and support Fabric-based analytics and agentic experiences that enable governed, natural-language access to curated business data.

Skills

Required

  • Power BI
  • semantic modeling
  • DAX
  • SQL
  • dimensional modeling
  • data warehousing
  • data transformation
  • Python
  • R
  • Microsoft Fabric
  • BI development
  • analytics engineering
  • governance
  • performance tuning
  • version control
  • CI/CD
  • testing
  • documentation

Nice to have

  • Master degree
  • Copilot in Power BI
  • Fabric agents
  • AI-enabled analytics capabilities
  • PySpark

What the JD emphasized

  • 7+ years of hands-on experience developing production-grade BI and analytics solutions in enterprise environments.
  • Deep expertise in Power BI, including semantic modeling, dashboard development, DAX, and performance optimization.
  • Strong SQL skills and experience transforming large, complex datasets into trusted analytical models.
  • Strong understanding of dimensional modeling, data warehousing concepts, and enterprise semantic model design.
  • Experience integrating data science outputs such as forecasts, predictions, or statistical measures into BI solutions.
  • Experience with Microsoft Fabric and familiarity with modern data and analytics workflows.
  • Strong engineering discipline, including documentation, testing, governance, and support of production solutions.
  • Experience using Python or R for data analysis, automation, or advanced analytics.
  • Experience with Copilot in Power BI, Fabric agents, or related AI-enabled analytics capabilities.
  • Experience preparing data for AI, including schema simplification, verified a