Data Science - Automation Lead

Johnson & Johnson is currently recruiting for a Lead Automation Data Scientist to join the Health Care Compliance Global Operations team.

Caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 130 years. We embrace research and science - bringing innovative ideas, products, and services to advance the health and well-being of people.

With $93.8 billion in 2021 sales, Johnson & Johnson is the world's most comprehensive and broadly-based manufacturer of health care products, as well as a provider of related services, for the consumer, pharmaceutical, and medical devices markets. There are more than 260 Johnson & Johnson operating companies employing over 135,000 people and with products touching the lives of over a billion people every day, throughout the world. If you have the talent and desire to touch the world, Johnson & Johnson has the career opportunities to help make it happen.

Thriving on diverse company culture, celebrating the uniqueness of our employees, and committed to inclusion. Proud to be an equal opportunity employer.

Summary:

The Lead Automation Data Scientist is responsible for leading the deployment of data science and intelligent automation solutions across Health Care Compliance (HCC) functional areas.

This global role will primarily focus on providing intelligent automation expertise in developing, implementing and supporting the Intelligent Automation (IA) and data science solutions space using Machine Learning, Selenium, Optical Character Recognition (OCR), Scheduled Data Flows, Robotic Process Automation (RPA), Natural Language Processing (NLP) and other tools and technologies. In addition, this role will also be responsible for bringing new ideas, delivering innovative solutions, and working closely with internal technology partners.

Key Responsibilities:

• Partner with subject matter experts across HCC to identify opportunities to implement intelligent automation solutions
• Collaborate with business partners to understand and document processes and write technical and functional requirements for automation
• In collaboration with internal support teams, develop, test and implement data science and automation solutions
• Query and mine complex data sets to identify actionable insights that will enable process transformation and automation.
• Identify key IA capabilities required to the HCC business function and continue to enhance the state-of-the-art HCCIA framework.
• Manage existing live automations and act as a subject matter expert to troubleshoot complex automation issues and build prevention plans.
• Monitor industry trends and work closely with technology partners to identify new technologies and approaches to addressing evolving needs across HCC.