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Company | Bristol Myers Squibb |
Address | Princeton, NJ, United States |
Employment type | FULL_TIME |
Salary | |
Category | Pharmaceutical Manufacturing |
Expires | 2023-05-15 |
Posted at | 1 year ago |
Working with Us
- Data Engineering and Science
- UI/UX Development
- Tech Design & Architecture
- Tech Development Configuration
- Machine Learning
- Software/Application Development
- Mentor and/or provide code review for other colleagues to ensure work is delivered to robust quality standards
- Ready to do maintenance, troubleshooting, refactoring, unit-testing, integration testing, code packaging, dockerization, and documentation of large-scale projects
- Translate unstructured, complex business problems into data and information needs and deliver the appropriate data, modeling, and/or analytical solutions. Where applicable, build automated data pipelines that curate and integrate data from multiple sources into datasets ready for analytic use.
- Act as a subject matter expert in analytical methodologies to research, recommend, and implement state-of-the-art and/or traditional modeling techniques that is most appropriate for the business problem at hand
- Develop data visualizations and/or dashboards in Tableau or Spotfire to facilitate metrics reporting & monitoring, insights consumption, and additional analyses
- Engage and collaborate with a diverse team of business stakeholders, business analysts, data scientists, technical engineers, data architects, solution architects, and project managers to develop data analysis plan and execute on it to deliver business outcomes that help drive time, cost, quality, and efficiency within the functional area aligned with business needs
- Drive end-to-end data analytics solutions starting with understanding the business requirements, exploring large amount of diverse historical data, developing machine learning models, assessing new approaches, and building prototypes to advance business use cases and/or deliver business value related to clinical trial, supply chain, commercial or financial execution and submissions
- Build reusable tools and/or libraries to streamline the data analytics pipeline and sharing knowledge
- Develop and apply MLOps skills to support CI/CD pipelines, as well as work with AWS tools such as S3 buckets, lambda functions, step functions, EC2, etc. to support solution
- Have a strong commitment to a career in technology with a passion for healthcare
- Able to collaborate across multiple teams
- Agility to learn new tools and processes
- Lead initiatives related to continuous improvement or implementation of new technologies
- Excellent communication skills
- Ability to understand the needs of the business and commitment to deliver the best user experience and adoption
- Responsible for the direct management of a team including results/outcomes, goal setting, performance management, coaching
- Demonstrated leadership experience
- Works independently on most deliverables
- Innovative and inquisitive nature to ask questions, offer bold ideas and challenge the status quo
- Communicate results as an easy-to-understand storyline to explain the approach, associated limitations, and any data-driven insights to business leads
- Technical experience supporting, developing, and implementing data applications (skills like Python, R, Distributed data processing using Spark, Tableau, Spotfire, AWS S3 or AWS RDS as examples)
- Exceptional verbal and written communication skills, specifically the ability to communicate within the context of the intended audience, whether that be senior executives or highly technical engineering resources.
- 4-6+ years of previous technical experience.
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