Job Description

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. The individual will help scale current solution delivery across brands and channels while also building future-ready capabilities through modern data platforms, AI-augmented development, intelligent automation, and emerging agentic ways of working. It is intended for someone who can help the team evolve toward a more scalable, reusable, and AI-enabled operating model by combining strong engineering discipline with curiosity for new tools, automation patterns, and human-plus-agent workflows

Roles & Responsibilities:

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

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

• Solves problems independently, Owns solutions from planning through delivery

• Lead development and maintenance of data and analytics pipelines supporting multi-brand, multi-channel time series forecasting.

• Build scalable data preparation, transformation, and validation workflows across sources such as: (IPP / Impala / CDP / Redshift / CSCAN / REACTS)

• Improve reliability, maintainability, and observability of workflows in Dagster / Databricks / Domino.

• 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 insights.

• Build predictive, prescriptive, and generative models for strategic business problems.

• 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.

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 building and maintaining robust ETL/ELT, transformation, and validation pipelines

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

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

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

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

Skills and Competencies

• Strong hands-on expertise in end to end Python based data science and data engineering project

• Experience with modern data pipelines and orchestration frameworks - i.e. Dagster, airflow etc.

• Experience with orchestration frameworks such as Dagster, Airflow, or similar

• Strong understanding of data quality, reconciliation, lineage, and audit-ready documentation practices

• Ability to design reusable, scalable patterns rather than one-off solutions

• Strong problem-solving skills and comfort working in ambiguous, evolving environments

• Ability to work across engineering, analytics, and business-facing problem spaces

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

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

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

• Solid experience in time‑series forecasting, Prophet, ARIMA, hold winter etc - knowledge of multivariate time series forecast is plus

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

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

Good to Have

• Familiarity with GTN, rebates, chargebacks, channel analytics, or healthcare commercial data

• Hands‑on experience delivering LLM‑driven projects or LLM‑augmented workflows.

• Experience using agentic AI frameworks (LangChain Agents, AutoGen, LlamaIndex Agents, OpenAI Agents).

• 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 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.

R1600905 : Data Scientist II