Senior Data Scientist - Power BI & AI
Johnson & Johnson
August 23, 2026
Remote friendly (New Brunswick, NJ)
United States
IT
Purpose
- Senior Data Scientist (Power BI & AI) to build scalable, production-grade analytics that convert complex financial/operational data into actionable insights.
You Will Be Responsible For
- Design, develop, and maintain enterprise Power BI semantic models integrating financial data and data science outputs.
- Build/optimize trusted datasets using SQL and PySpark; apply dimensional modeling.
- Use Power BI best practices (DAX optimization, workspace governance, security, performance tuning).
- Enforce semantic modeling standards; optimize large-scale datasets (Direct Lake, incremental refresh, partitioning).
- Prepare data for AI/Copilot (schema simplification, verified answers, domain instructions).
- Design Fabric-based governed natural-language analytics/agentic experiences.
- Apply engineering practices: version control, CI/CD, testing, documentation, production support.
- Partner with business, data engineers, data scientists to define requirements and drive adoption.
Success In This Role
- Improve performance/scalability/usability; increase adoption of governed semantic models.
- Reduce report inconsistencies; enable intuitive Copilot-enabled analytics.
Qualifications / Requirements
- 7+ years enterprise production BI/analytics; Bachelor’s required (Master preferred).
- Deep Power BI expertise (semantic modeling, dashboards, DAX, performance).
- Strong SQL; dimensional modeling/data warehousing knowledge.
- Experience integrating forecast/prediction/statistical outputs into BI.
- Experience with Microsoft Fabric; modern data/analytics workflows.
- Strong engineering discipline; CI/CD, testing, governance.
- Bachelor’s in CS/IS/Data Science/Engineering/Analytics/Stats/Finance or related.
- Python or R; Copilot in Power BI/Fabric agents; AI data prep (verified answers/instructions).
- Large-scale enterprise datasets (financial/operational); DevOps (Git/pipelines).
- Semantic modeling at scale; SAP (plus); finance/reporting (plus).
Preferred / Nice-to-have
- Analytics products beyond reporting (automation/intelligent workflows).
- Enterprise governance/security/adoption practices; mentoring/establishing BI standards.
Required Skills
- Microsoft Power Business Intelligence (BI).
Preferred Skills
- Advanced Analytics, BI, Collaboration, Critical Thinking, Data Analysis, Data Visualization, Process Improvements, Workflow Analysis.
Benefits (as stated)
- Medical, dental, vision, life insurance, short/long-term disability, 401(k), retirement plan, long-term incentive; time off (vacation, sick time, holidays, parental leave, etc.).
- Senior Data Scientist (Power BI & AI) to build scalable, production-grade analytics that convert complex financial/operational data into actionable insights.
You Will Be Responsible For
- Design, develop, and maintain enterprise Power BI semantic models integrating financial data and data science outputs.
- Build/optimize trusted datasets using SQL and PySpark; apply dimensional modeling.
- Use Power BI best practices (DAX optimization, workspace governance, security, performance tuning).
- Enforce semantic modeling standards; optimize large-scale datasets (Direct Lake, incremental refresh, partitioning).
- Prepare data for AI/Copilot (schema simplification, verified answers, domain instructions).
- Design Fabric-based governed natural-language analytics/agentic experiences.
- Apply engineering practices: version control, CI/CD, testing, documentation, production support.
- Partner with business, data engineers, data scientists to define requirements and drive adoption.
Success In This Role
- Improve performance/scalability/usability; increase adoption of governed semantic models.
- Reduce report inconsistencies; enable intuitive Copilot-enabled analytics.
Qualifications / Requirements
- 7+ years enterprise production BI/analytics; Bachelor’s required (Master preferred).
- Deep Power BI expertise (semantic modeling, dashboards, DAX, performance).
- Strong SQL; dimensional modeling/data warehousing knowledge.
- Experience integrating forecast/prediction/statistical outputs into BI.
- Experience with Microsoft Fabric; modern data/analytics workflows.
- Strong engineering discipline; CI/CD, testing, governance.
- Bachelor’s in CS/IS/Data Science/Engineering/Analytics/Stats/Finance or related.
- Python or R; Copilot in Power BI/Fabric agents; AI data prep (verified answers/instructions).
- Large-scale enterprise datasets (financial/operational); DevOps (Git/pipelines).
- Semantic modeling at scale; SAP (plus); finance/reporting (plus).
Preferred / Nice-to-have
- Analytics products beyond reporting (automation/intelligent workflows).
- Enterprise governance/security/adoption practices; mentoring/establishing BI standards.
Required Skills
- Microsoft Power Business Intelligence (BI).
Preferred Skills
- Advanced Analytics, BI, Collaboration, Critical Thinking, Data Analysis, Data Visualization, Process Improvements, Workflow Analysis.
Benefits (as stated)
- Medical, dental, vision, life insurance, short/long-term disability, 401(k), retirement plan, long-term incentive; time off (vacation, sick time, holidays, parental leave, etc.).