Senior Manager, Data Scientist

Key Skills

Data science techniques, Deep Learning, Effective communication skills, IT, Machine learning techniques, Presentation skills, Python Programming, SQL, Tableau

Job Description

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.

The Data Scientist, Maintenance & Reliability is responsible for establishing and implementing a data governance and strategy for gathering and managing the information required to provide proactive data analytics specific to industrial equipment and system performance. You will develop tools to extract actionable information from the Computerized Maintenance Management System (Maximo) and provide dashboards with which to present information to the Site Engineering team.

Key Responsibilities:

• Develops systems to monitor and report on industrial equipment and system performance.
• Develop and implement a data governance strategy for site engineering to better enable access to equipment and system performance data.
• Develop and implement systems to extract actionable information from the maintenance data stored within the Computerized Maintenance Management System (Maximo).
• Develop and evaluate state of the art machine learning algorithms to be applied to industrial equipment and systems.
• Develop workflows using reliability modeling to gain insights and predictions around asset reliability from raw maintenance data.
• Develop methodologies, reports, and dashboards that provide business insights into leading performance indicators and make recommendations to improve operational performance.
• Collaborate with Engineering, Automation, Reliability, and IT to establish performance indicators and dashboards for reporting data to leadership teams.

Qualifications & Experience:

• MS degree in Computer Science, Engineering, or a related technical field OR an BS degree in a quantitative field with significant practical experience as a Data Scientist.
• Experience developing machine learning methods for industrial equipment and systems.
• Experience with advanced analytics techniques and methodologies such as predictive modeling, statistical analysis, statistical tests,
• Experience using statistical computer languages and BI tools such as Python, SQL, Tableau.
• Experience working with deep learning libraries.
• Experience with process automation and quality assurance.
• Experience with data science as it applies to maintenance, engineering and/or reliability.
• Experience working within the biotechnology or pharmaceutical industry.
• Excellent written and verbal communication skills.
• Excellent presentation skills.

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers

With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

Physical presence at the BMS worksite or physical presence in the field is a necessary job function of this role, which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and it enhances the Company culture.

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.