Data Scientist I

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 I - Commercialization & EF DS & AI Solutions

Profile Summary:

The Data Scientist I position is a foundational role within the analytics team, requiring strong analytical rigor, strong machine learning fundamentals, and the ability to translate data into meaningful business solutions.

The Data Scientist I contributes to predictive, analytical, and AI‑driven solutions across multiple business domains (e.g., forecasting, commercial analytics, decision support). Working under the guidance of senior data scientists, this role emphasizes hands‑on modelling, analytical problem‑solving, and engineering discipline, while building the depth to own more complex workstreams over time.

 

Roles & Responsibilities:

• Assist in the analysis and interpretation of structured and unstructured data to support business decisions and operational improvements.

• Contribute to the development of predictive and analytical models using statistical, machine learning, and optimization techniques.

• Assist in feature engineering, model training, evaluation, and performance diagnostics under guidance from senior team members.

• Collaborate with team members and stakeholders to understand business requirements and contribute to the design, development, and maintenance of basic data pipelines, models, and dashboards.

• Support the development and enhancement of data infrastructure and analytical tools/product development under guidance from senior data scientists and LT teams.

• Prepare and present clear, concise reports and visualizations to communicate findings to technical and non-technical audiences.

• Follow technical best practices in coding, documentation, and version control to ensure reproducibility and scalability of analytics solutions.

• Continuously build expertise in data science, machine learning, and applied analytics techniques.

• Stay curious about emerging AI/ML methods and their business applications.

Skills and Competencies

• Strong foundations in statistics, probability, and machine learning concepts.

• Familiarity with data analytics and machine learning libraries (e.g., pandas, NumPy, Scikit-learn, TensorFlow).

• Ability to perform structured problem decomposition and analytical reasoning.

• Exposure to predictive modeling techniques (e.g., regression, classification, basic time‑series concepts).

• Familiarity with model evaluation metrics and validation approaches.

• Ability to communicate technical concepts clearly and effectively to team members and stakeholders.

• Willingness to learn new technologies and adapt to evolving project requirements.

• Strong problem-solving skills and attention to detail.

Experience

• Bachelor’s or master’s degree in Computer Science, Information Technology, Engineering, or a related analytical discipline.

• Internship, academic, or early‑career experience in data science, analytics, machine learning, or software engineering.

• Exposure to real-world data challenges through academic projects, internships, or hackathons.

• Hands‑on experience in data preprocessing, feature engineering, and model development.

Good to Have

• Exposure to time‑series or forecasting techniques (e.g., trend/seasonality modeling, ARIMA, Prophet).

• Familiarity with MLOps concepts such as model tracking, reproducibility, and deployment basics.

• Exposure to cloud‑based data solutions and modern analytics stacks.

• Awareness of GenAI or LLM‑based tools and their potential role in analytical workflows.

• Strong interest in continuous learning and building deep technical expertise in data science

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.

R1600907 : Data Scientist I