Sr 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:

Global Finance Data Science Team at J&J is recruiting for a Senior Data Scientist. This position is located in New Brunswick, NJ. 

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 area will also include Predictive Sales Forecasting as part of SAP Analytics Cloud reporting capability, taking it from PoC to Production-grade standards. 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 help in 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 financial forecasting, 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.

Major Duties & Responsibilities:

· Adopt a highly successful forecasting process and technologies to deliver a monthly sales financial forecast for consumption by senior leaders

· Assessing BI sources to understand the impact of future events on forecast accuracy, developing judgement on how to adjust forecasts.

· Adjust data engineering pipelines for large datasets from finance/ERP systems and automate data science processes.

· 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.

· Advocate for data-driven insights and data science methods across the organization and managing compliance adherence.

Technical Requirements:

· Proficient in Python/R/Alteryx programming and experienced with Data Science Cloud platforms like AWS, Azure, and Domino.

· Experienced using finance data and SAP HANA data tables is an advantage

· Proficient in interpreting BI sources and understanding the impact of these on finance metrics

· Able to work independently and under time pressure to deliver a process, investigating and solving data issues in an explainable way.

· Skilled in data visualization and dashboarding using Tableau or PowerBI · Knowledgeable in advanced statistical techniques and concepts, such as regression, properties of distributions, and statistical tests.

· Proficient in end-to-end production deployment, from concept to production-grade models, and experienced with Gen AI technologies like AWS Bedrock, Azure OpenAI service, and Joule.

· Familiar with automated workflow tools like Alteryx and workflow