Senior Data Scientist - Power BI & AI

Posted 4 Days Ago
New Brunswick, NJ, USA
In-Office
109K-175K Annually
Senior level
Healthtech • Biotech • Pharmaceutical • Manufacturing
The Role
Senior Data Scientist focused on building production-grade Power BI semantic models and Fabric-based analytics. Integrate forecasts and data science outputs, optimize performance (DAX, Direct Lake, partitioning), prepare data for Copilot-enabled experiences, and implement engineering practices (CI/CD, version control, testing) while partnering with stakeholders and data teams to deliver governed, enterprise BI solutions.
Summary Generated by Built In

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world.  We provide an inclusive work environment where each person is considered as an individual.  At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

New Brunswick, New Jersey, United States of America

Job Description:

We are searching for the best talent for Senior Data Scientist - Power BI & AI to be in New Brunswick, NJ.

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine 

Purpose:

We are hiring a Senior Data Scientist with 7+ years of experience building scalable, production-grade analytics solutions that turn complex financial and operational data into actionable business insights.

This is primarily a senior BI and analytics engineering role embedded within a data science team. The ideal candidate brings deep expertise in Power BI, semantic modeling, and analytics engineering, with the ability to integrate data science outputs such as forecasts and predictions into governed, high-performance BI products.

You will work across the analytics lifecycle, from data transformation and semantic model design to dashboard development, performance tuning, and Copilot-enabled analytics experiences. You will partner closely with business stakeholders, data engineers, and data scientists to deliver scalable, enterprise-ready decision-support solutions.

This role offers the opportunity to help shape next-generation BI by combining trusted data models, modern Microsoft Fabric capabilities, and AI-powered analytics experiences.

You will be responsible for:

  • 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 in this role:

  • Improve the performance, scalability, and usability of enterprise BI solutions.

  • Increase adoption of governed semantic models and self-service analytics.

  • Reduce data inconsistencies across reports through strong modeling and governance practices.

  • Enable business users with intuitive, Copilot-enabled analytics experiences built on trusted data.

  • Help elevate 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 Degree required, Master 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.

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Business Analytics, Statistics, Finance, or a related quantitative field.

  • 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 answers, and instruction authoring.

  • Experience with large-scale enterprise datasets, including financial or operational data.

  • Familiarity with DevOps practices for BI, including Git, pipelines, and automated testing.

  • Experience designing performant semantic models at scale.

  • Experience with SAP and familiarity with SAP backend tables is a plus.

  • Experience in finance, enterprise reporting, or other data-intensive business environments is a plus.

    Preferred / Nice-to-have:

    • Experience building analytics products that go beyond reporting to 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.

    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. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. 

    Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

    #LI-Hybrid #JNJDataScience

    Required Skills:

    Microsoft Power Business Intelligence (BI)

    Preferred Skills:

    Advanced Analytics, Business Intelligence (BI), Coaching, Collaboration, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis

    The anticipated base pay range for this position is :

    The anticipated base pay range for this position is $109,000 to $174,800 USD.

    Additional Description for Pay Transparency:

    Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours  Additional information can be found through the link below.  https://www.careers.jnj.com/employee-benefits

    Skills Required

    • 7+ years developing production-grade BI and analytics solutions in enterprise environments
    • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Business Analytics, Statistics, Finance, or related field
    • 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 (forecasts, predictions, statistical measures) into BI solutions
    • Experience with Microsoft Fabric and modern data and analytics workflows
    • 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 answers, and instruction authoring
    • Familiarity with DevOps practices for BI including Git, pipelines, and automated testing
    • Experience designing performant semantic models at scale and optimizing large-scale datasets (Direct Lake, incremental refresh, partitioning)
    • Experience with large-scale enterprise datasets, including financial or operational data
    • Master's degree
    • Experience with SAP and familiarity with SAP backend tables
    • Experience in finance, enterprise reporting, or other data-intensive business environments

    Johnson & Johnson Compensation & Benefits Highlights

    The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.

    • Healthcare Strength Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
    • Retirement Support Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
    • Parental & Family Support Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.

    Johnson & Johnson Insights

    Am I A Good Fit?
    beta
    Get Personalized Job Insights.
    Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

    The Company
    HQ: New Brunswick, NJ
    143,612 Employees
    Year Founded: 1886

    What We Do

    Profound Change Requires Boldness. Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world. Social Media Community Guidelines: http://www.jnj.com/social-media-community-guidelines

    Similar Jobs

    PwC Logo PwC

    Consultant

    Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
    Hybrid
    24 Locations
    370000 Employees
    99K-232K Annually

    PwC Logo PwC

    Consultant

    Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
    Hybrid
    45 Locations
    370000 Employees
    124K-280K Annually

    PwC Logo PwC

    Cyber Defense & Engineering - Cloud Security Experienced Associate

    Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
    Hybrid
    20 Locations
    370000 Employees
    63K-140K Annually

    PwC Logo PwC

    Banking & Capital Markets Tax Senior Associate

    Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
    Hybrid
    12 Locations
    370000 Employees
    77K-214K Annually

    Similar Companies Hiring

    Granted Thumbnail
    Mobile • Insurance • Healthtech • Financial Services • Artificial Intelligence
    New York, New York
    23 Employees
    Fortune Brands Innovations Thumbnail
    Manufacturing
    Deerfield, IL
    2450 Employees
    Amalgamated Sugar Thumbnail
    Food • Greentech • Agriculture • Industrial • Manufacturing
    Boise, Idaho
    768 Employees

    Sign up now Access later

    Create Free Account

    Please log in or sign up to report this job.

    Create Free Account