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.

Job Title : Data Scientist II - Commercialization & EF DS & AI Solutions 

Profile Summary: 

The Data Scientist II role is a high‑impact idea generator and deep problem solver within analytics team. This role is for individuals who can challenge assumptions, conceptualize novel analytical approaches, and harness emerging technologies to deliver transformative business solutions. This role is designed for an experienced data scientist with strong time‑series forecasting expertise who can independently own end‑to‑end forecasting workstreams, improve and scale enterprise forecasting platforms, and lead initiatives that directly influence commercial and strategic decision‑making. 

This individual operates with a high degree of autonomy, translating ambiguous business problems into robust forecasting solutions, partnering closely with Finance, Commercial, Market Access, and Analytics stakeholders. The role blends deep technical execution, platform thinking, and stakeholder leadership  

Roles & Responsibilities: 

• Ideate, architect, and prototype high‑impact analytical and ML/AI solutions.  

• Break down ambiguous business problems into clear, scalable analytical workflows.  

• Design, develop, and maintain advanced forecasting models using statistical, machine learning, and AI‑driven approaches across commercial demand and planning use cases. 

• Partner with stakeholders to frame hypotheses, define KPIs, and design experiment frameworks.  

• Explore and analyse large structured and unstructured datasets from clinical, digital, and real‑world sources.  

• Apply advanced ML, statistical methods, and LLM‑based techniques to generate business solutions.  

• Work with engineering teams to ensure reliable data pipelines and deployment environments.  

• Present complex model logic and recommendations clearly to technical and non‑technical audiences.  

• Continuously evaluate and adopt emerging AI/ML and agentic‑system tools to future‑proof capabilities.  

• Mentor junior data scientists and promote a culture of experimentation and innovation. 

• Apply MLOps best practices including version control, reproducibility, model monitoring, and documentation. 

 

Experience 

• Bachelor’s, Master’s, or Ph.D. in Data Science, Computer Science, Statistics, Engineering, or related field.  

• 2–5 years of experience in applied ML and problem‑solving roles.  

• Experience working with large structured/unstructured datasets (SQL, NoSQL, document stores).  

• Demonstrated success building predictive or AI models with measurable business impact.  

• Experience with healthcare, clinical trials, or regulated pharma datasets (preferred).  

• Strong hold on MLOps tools: MLflow, Git, CI/CD, containerization. 

 

Skills and Competencies 

• Strong hands‑on expertise in Python‑based data science and analytical workflows. 

• Strong foundations in statistics, hypothesis testing, and experimental design.  

• Excellent communication, storytelling, and stakeholder‑influence abilities.  

• Solid experience in time‑series forecasting (ARIMA, Prophet, Holt‑Winters); multivariate and hierarchical forecasting is a plus. 

• Experience with AWS/Azure/GCP and modern data ecosystems (Spark, Databricks, BigQuery, Snowflake).  

• Comfortable navigating fast‑paced, ambiguous problem environments with autonomy. 

• Strong foundations in experimentation, causal inference, and hypothesis‑driven analysis.  

• Advanced visualization skills using Tableau, Power BI, matplotlib, seaborn, or Plotly.  

• Solid understanding of agentic AI architectures and autonomous or semi‑autonomous analytical agents.  

 

Good to Have 

• Experience enhancing or scaling enterprise level platforms. 

• Exposure to AI‑augmented or LLM‑assisted analytics workflows applied to planning or forecasting use cases. 

• Ability to prototype autonomous agents that handle multi‑step or decision‑making workflows.  

• Familiarity with tool‑calling, orchestration, and autonomous reasoning toolkits.  

• Contributions to open‑source AI/LLM projects or participation in relevant hackathons. 

 

 

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 [email protected]. 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

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If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at [email protected]. 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.

R1605640 : Data Scientist II