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Senior Data Scientist - Power BI & AI

Job in New Brunswick, Middlesex County, New Jersey, 08933, USA
Listing for: 6090-Johnson & Johnson Services Inc. Legal Entity
Full Time position
Listed on 2026-06-22
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below

Job Overview

We are searching for the best talent for Senior Data Scientist - Power BI & AI to be in New Brunswick, NJ. This is a primarily senior BI and analytics engineering role embedded within a data science team. The role focuses on building scalable, production‑grade analytics solutions that turn complex financial and operational data into actionable business insights.

Responsibilities
  • Design, develop, and maintain enterprise‑grade Power BI semantic models that integrate financial data and data science outputs to support decision‑making.
  • Build and optimize trusted, analysis‑ready datasets using SQL, PySpark, and modern data‑modeling practices.
  • Apply best practices in Power BI development, including DAX optimization, dimensional modeling, workspace governance, security, and performance tuning.
  • Define and enforce semantic modeling standards for scalability, usability, and consistency across BI solutions.
  • Optimize large‑scale datasets using techniques such as Direct Lake, incremental refresh, and partitioning where appropriate.
  • Prepare data for AI and Copilot‑enabled analytics experiences by simplifying schemas, setting up verified answers, and authoring domain‑specific instructions.
  • Design and support Fabric‑based analytics and agentic experiences that enable governed, natural‑language access to curated business data.
  • Implement strong engineering practices, including version control, CI/CD, testing, documentation, and support for production BI assets.
  • Partner effectively with business stakeholders, data engineers, data scientists, and technology teams to define requirements, deliver solutions, and drive adoption.
Success Metrics
  • Improved performance, scalability, and usability of enterprise BI solutions.
  • Increased adoption of governed semantic models and self‑service analytics.
  • Reduced data inconsistencies across reports through strong modeling and governance practices.
  • Enabled business users with intuitive, Copilot‑enabled analytics experiences built on trusted data.
  • Elevated BI engineering standards across the team through strong technical execution and collaboration.
Qualifications / Requirements
  • Must‑have Requirements:
    • 7+ years of hands‑on experience developing production‑grade BI and analytics solutions in enterprise environments.
    • Bachelor’s degree required;
      Master’s degree preferred.
    • 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 working closely with business stakeholders to define requirements, KPIs, and reporting 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.
  • Preferred / Nice‑to‑have:
    • Experience building analytics products that support decision automation and intelligent workflows.
    • Familiarity with enterprise‑scale governance, security models, and adoption practices for BI platforms.
    • Experience mentoring other developers or helping establish BI development standards and best practices.
    • Experience with SAP and familiarity with SAP backend tables.
    • Experience in finance, enterprise reporting, or other data‑intensive business environments.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local law.

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Position Requirements
10+ Years work experience
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