Data Scientist

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 https://www.jnj.com

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:

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 

We are searching for the best talent for Data Scientist

Purpose:

As a Data Scientist in Global Finance Data Science Team: You will be contributing to a high standard delivery of data science driven predictive financial statements - consumed by senior leadership.  You will work in a global team of Data Scientists, Data Engineers and Machine Learning Engineers to advance the Data Science and AI roadmap for J&J’s Global Finance function.  You will assist in delivering value-added insights and analytics to our finance and business leaders, reduce manual work through automated reasoning, and enhance user-experience.

You will be responsible for:

You will mainly focus on advancing and broadening the capabilities of our Predictive Financial Statements, plugging results into SAP Analytics Cloud reporting - where most stakeholders go for corporate internal financial statements.  Your job will also include aligning finance and business needs, validation of data from different source systems, and data reconciliation.  You will mainly be required to create new models and leverage or extend the use of existing models for other financial statements.  You will also enhance existing models for accuracy, speed and cost. 

You will be involved in data science projects across their lifecycle, from design to production and adoption by end users.  This will include creating proof-of-concepts for new project, data science model development, data pipeline development and production deployment.  The capabilities developed will include forecasting, descriptive analytics, data visualization, GenAI and decision support.  This role will involve understanding the needs of business stakeholders and advocating the merits of data-driven analytics to provide viable solutions.

You will be responsible for:

• Adopting a highly successful forecasting processes and technologies and delivering predictive financial statements monthly.

• Modeling the impact of future events to enhance forecast accuracy.

• Developing data pipelines for large datasets sourced from financial systems and automating data science processes.

• Documenting and aligning model changes within the team and stakeholders.

• Communicating insights to stakeholders leveraging data visualization tools.

• Monitoring model performance, and continuously improving existing models.

• Collaborating with finance, commercial leaders, technology teams, and external partners to deliver end-to-end solutions, ensuring compliance and risk management.

• Advocating for data-driven insights and data science methods across the organization and managing compliance adherence.

Qualifications / Requirements:

• Minimum of 2 years of Data Science/ AI experience in an industry setting is required, preferably in a Finance or Healthcare setting.

• Minimum of a Bachelors degree is required, preferably in Science, Economics, Business Analytics, Data Science, Finance, Computer Science, Engineering or any other quantitative or STEM discipline.

Technical Requirements

• Proficient in Python/R/Alteryx programming and experienced with Data Science Cloud platforms like AWS and Databricks or Domino.

• Experienced using finance data and SAP HANA data tables is a plus.

• Proficient in interpreting data sources and correlating to financial metrics.

• Able to work independently and under time pressure to deliver results, investigating and solving data issues in an explainable way.

• Skilled in data visualization and dashboarding using Tableau or PowerBI.

• Knowledgeable in statistical techniques and concepts, such as regression, properties of distributions, and statistical tests.

• Strong data analytics skills and attention to detail.

Other:

• The position will be located in New Brunswick, NJ and may require up to 10% travel.

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:

Artificial Intelligence (AI), Python (Programming Language)

Preferred Skills:

Advanced Analytics, Analytical Reasoning, Business Intelligence (BI), Business Writing, Coaching, Collaborating, Communication, Data Analysis, Data Compilation, Data Privacy Standards, Data Savvy, Data Science, Data Visualization, Econometric Models, Execution Focus, Technical Credibility, Technologically Savvy, Workflow Analysis

The anticipated base pay range for this position is :

The anticipated base pay range for this position is $89,000 to $143,750 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