Bristol Myers Squibb is a company focused on transforming patient care through innovative solutions. The BI&T Development Data Scientist Analyst position involves designing and deploying advanced analytics, collaborating with stakeholders, and applying predictive modeling to large datasets to support clinical operational analytics across Drug Development.
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
Qualification
Required
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
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
Preferred
Experience with building and deploying data science and data engineering solutions using established industry methods (MLOps, Git) to Complex datasets is preferred
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.
Paid Time Off
At Bristol Myers Squibb, we work every day to transform patients’ lives through science.
