BI&T Development Data Scientist

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: .

The BI&T Development Data Scientist Analyst position at Bristol Myers Squibb, as part of the Development Data & Analytics team offers a dynamic and meaningful career focused on advancing patient care through innovative data science solutions. The role involves designing and deploying advanced analytics, collaborating with stakeholders, and applying predictive modeling and machine learning to large and diverse datasets.

The Development Data Scientist Analyst will play a crucial role in supporting study clinical operational analytics across Drug Development to ensure products continue to serve most pressing DD analytics needs, with opportunities to build new advanced analytics capabilities such as predictive modelling, simulation, and optimization. The Development Data Scientist Analyst should have a strong interest in solving business problems, and an eagerness to work on all parts of the analytics value chain, from partnering with IT on data pipelines to operationalizing predictive models in the service of our patients around the world.

Major Responsibilities and Accountabilities:

• Hands-on Development Data Scientist Analyst that will be expected to ideate, design, develop, model and deploy advanced solutions.
• Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations based on an understanding of Drug Development priorities, critical issues, and value levers.
• Collaborate with stakeholders to identify business problems, goals, and KPIs to design, establish and maintain data pipelines, models and business facing reports and dashboards.
• Understanding of digital analytics tools and platforms and version control.
• Gather, pre-process and explore large-scale structured and unstructured data from diverse sources.
• Apply advanced statistical analysis, machine learning algorithms and predictive modelling techniques to extract insights and develop models that drive actionable recommendations.
• Conduct exploratory data analysis (EDA) to identify patterns and anomalies in the data and propose solutions to business problems.
• Develop and implement predictive models (e.g., regression, clustering, time series forecasting) to solve complex business challenges.
• Collaborate with data engineers and IT teams to ensure data availability, quality, and reliability for analysis and modeling.
• Communicate complex analytical findings and insights to both technical and non-technical stakeholders through clear and compelling visualizations, reports and presentations.

Qualifications

Minimum Requirements

• Minimum education of a b achelor's or master's degree in an analytical, engineering, operations research or scientific discipline is required.
• Minimum of two (2) plus years of experience in a data and analytics role, including direct development experience.
• Experience working with large datasets, data visualization tools, statistical software packages and platforms. (specifically React, Python, advanced SQL, Domino, AWS, GitHub, dbt)
• Familiarity with data visualization tools such as React or Power BI for effective communication of findings.
• Strong background in statistical analysis, machine learning, and predictive modelling techniques.
• Experience in handling and analyzing large-scale structured and unstructured data sets using SQL or similar technologies.
• Experience with building and deploying data science and data engineering solutions using established industry methods (MLOps,Git) to Complex datasets is preferred.
• Demonstrated ability to develop and implement predictive models and machine learning algorithms.
• Excellent communication and presentation skills to convey complex concepts to technical and non-technical stakeholders.

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.

Compensation Overview:

Princeton - NJ - US: $87,810 - $106,399

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into