Job was saved successfully.
Job was removed from Saved Jobs.

Job Details


Bristol Myers Squibb

Data Scientist

Science and Research

Scientist

No

Princeton, New Jersey, United States

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.

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.

Key Responsibilities

  • Drive end-to-end tactical data analytics pilots by partnering with business and data experts, exploring large amount of diverse data, developing machine learning models, assessing new approaches, and building prototypes to advance business use cases and deliver value.
  • Translate unstructured, complex business problems into data and information needs and deliver the appropriate data, modeling, and/or analytical solutions.
  • Develop data visualizations and/or dashboards in Tableau or Spotfire to facilitate metrics reporting & monitoring, insights consumption, and additional analyses.
  • Build reusable tools and/or libraries to streamline the data analytics pipeline and sharing knowledge.
  • Act as a subject matter expert in analytical methodologies to research, recommend, and implement state-of-the-art and/or traditional modeling techniques that is most appropriate for the business problem at hand.
  • Ready to do maintenance, troubleshooting, refactoring, unit-testing, integration testing, code packaging, dockerization, and documentation of large-scale projects.
  • Develop and apply MLOps skills to support CI/CD pipelines, as well as work with AWS tools such as S3 buckets, Lambda functions, Step Functions, EC2, etc. to support solution.
  • Mentor and/or provide code review for other colleagues to ensure work is delivered to robust quality standards.
  • Communicate results as an easy-to-understand storyline to explain the approach, associated limitations, and any data-driven insights to business leads.
  • Help scale solutions into production if/when ready by partnering with operational engineering teams.

Qualifications & Experience

  • Strong data and analytics skillsets, such as data provisioning, data mining, data visualization, machine learning
  • Code development in Python/R with an SCM like GitHub
  • Cloud computing platforms (e.g. AWS)
  • Model governance with MLFlow or equivalent
  • Experience leading initiatives related to continuous improvement or implementation of new technologies. Works independently on most deliverables.
  • Can package information and data that tells a story and provides insight to a broader problem. Presents and explains the implications of key information on issues important to the business unit.
  • Stays current with emerging trends in specialty area. Creates transition plans for new processes, implements and monitor’s change. Ensures alignment of plans with the enterprise's strategic vision and translates the vision to connect to team's work
  • Maintains a broad perspective when analyzing information and utilizes analytical thought while pushing others to do the same, considering long-term implications. Uses judgement and creativity in structuring work and finding solutions that are not obvious. Reviews and assess solutions proposed by others to determine the best path moving forward.

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.

BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.