Senior Data Scientist, Accounting and ERP

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:

We are searching for the best talent for Senior Data Scientist, Accounting and ERP 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:

As a Senior Data Scientist in Global Finance Data Science Team, you will be responsible for delivering data science production processes to a high standard, contributing to products that are consumed and scrutinized by senior leadership. You will work in a global team of Data Scientists, Data Engineers and Machine Learning Engineers to advance data science/AI roadmap for J&J’s Global Finance function. You will help deliver value-added insights and analytics to our finance and business leaders, reduce manual workload through automation, and enhance user-experience.

Project focus areas will include the application of Machine Learning and Generative AI to technical accounting use cases, and using data from SAP Hana, Datahub and Datasphere. This includes aligning finance and business needs, input data validations from different source systems, data reconciliation/validations and work on other ongoing enhancements/ad-hoc requests from leadership etc.

You will aid data science projects across their lifecycle: Design/ proof-of-concept (PoC), development, data pipelines and engineering, deployment, adoption by end-users and ongoing enhancements. The capabilities developed will include predictive, Gen AI, descriptive analytics, data visualization and decision support. You will need to ensure that PoC’s are put into production-grade with correct amount of automation, data validations and systems/process integration. 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:

• Develop data science solutions based on the needs of business/ finance stakeholders.

• Build and adjust data engineering pipelines for large datasets from finance/ERP systems and automate data science processes.

• Understanding the nuances of accounting and finance data so this can be appropriately applied in Machine Learning and AI models.

• Iteratively improve the process and models to solve problems, testing and documenting changes, aligning changes within the team.

• Develop and deploy data science and AI solutions, including data processing, algorithm development, data visualization, and communication of insights to stakeholders.

• Research and implement statistical and machine learning models, monitor model performance, and continuously improve existing models.

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

• Experienced using accounting data within SAP data tables, understanding the contents of tables and how they are used within the accounting process.

• Knowledge of Python programming and Data Science Cloud platforms like AWS, Databricks, and Domino. 

• Able to work independently and under time pressure to deliver a process