Data Scientist II

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. 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.

The Data Scientist II role in Predictive Customer Engagement is a high-impact analytical role for individuals who can challenge assumptions, explore innovative analytical approaches, and apply advanced data science techniques to drive better commercial decisions. This role is intended for an experienced data scientist with strong forecasting, predictive modeling, and business problem-solving skills who can execute end-to-end analytical workstreams, solution direction, prioritization, and generate insights that directly influence commercial and strategic decision-making. The individual will partner closely with stakeholders across Commercial, Finance, Market Access, Medical, and Analytics to translate business needs into robust analytical solutions, while collaborating with senior team members on broader solution direction, prioritization, and more complex problem framing. The role combines deep technical execution, business impact orientation, and strong cross-functional partnership to improve customer engagement and performance outcomes.

• Develop predictive and descriptive analytics solutions for customer engagement, HCP targeting, omnichannel optimization, and related commercial use cases.
• Contribute to the ideation, design, development, and deployment of analytical and AI/ML solutions across the Predictive Customer Engagement portfolio
• Perform exploratory data analysis and statistical analysis across CRM, claims, prescription, and other healthcare commercial datasets.
• Build, validate, and improve machine learning models with clear commercial relevance.
• Create clear visualizations, summaries, and presentations to communicate findings to business and technical stakeholders.
• Contribute to reusable analytical workflows, model documentation, and code quality practices within the team.
• Work with data engineering and platform teams to support reliable data pipelines and scalable analytical assets.
• Apply sound experimentation, measurement, and analytical thinking to evaluate business performance and engagement strategies.
• Stay current with evolving analytics and AI methods relevant to healthcare commercial use cases.
• Mentor and provide guidance to junior data scientists and actively participate in knowledge sharing and team development initiatives.

• Strong proficiency in Python, R, or PySpark for data analysis, modeling, and automation.
• Good understanding of statistical analysis, hypothesis testing, regression, clustering, and forecasting methods.
• Hands-on experience with SQL and large structured datasets.
• Familiarity with healthcare or pharmaceutical commercial data such as CRM, claims, or engagement data.
• Ability to translate business questions into structured analytical approaches and measurable outputs.
• Experience with data visualization tools such as Tableau, Power BI, matplotlib, or seaborn.
• Working knowledge of version control and standard model development practices.
• Strong communication and problem-solving skills with the ability to work across analytics and business teams.

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field.
• 3–5 years of experience in data science, advanced analytics, or machine learning roles.
• Experience solving business problems using statistical and machine learning techniques.
• Preferred exposure to healthcare, life sciences, or pharmaceutical commercial analytics.
• Experience working with cross-functional stakeholders in a fast-paced delivery environment.

• Exposure to omnichannel analytics, HCP engagement measurement, or targeting use cases.
• Experience with US pharmaceutical data sources such as IQVIA, Symphony, Komodo, or similar datasets.
• Exposure to MLOps workflows, cloud platforms, or pipeline orchestration tools.
• Exposure to GenAI, LLMs, or explainability methods in applied analytics settings.
• Experience contributing to code reviews or shared analytical assets.

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 a supportive culture, promoting global participation 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

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

Supporting People with Disabilities

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.

Candidate Rights

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

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.

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

If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.