BI&T Development Data Scientist

Bristol Myers Squibb • Princeton, NJ

9d • Hybrid

About The Position

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.

Requirements

• Minimum education of a bachelor'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.

Responsibilities

• 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.

Benefits

• Health Coverage: Medical, pharmacy, dental, and vision care.
• Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
• Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
• Work-life benefits include: Paid Time Off US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees) Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays Based on eligibility, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day. All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees