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.
Requirements
- Minimum of 4-5 years of hands-on experience working in AI/ML, data science, data integration, and reporting.
- 1-2 years hands-on experience working in the area of Generative AI
- Experience with cloud-based environments (AWS, Azure, Google AI, Hugging face, Domino Data Lab etc.)
- Hands on experience with designing and deploying machine learning models using Scikit-Learn, TensorFlow, PyTorch, etc.
- Significant experience with work information process tools (JIRA, Confluence, ServiceNow, MS suites) and data-related tools (Oracle, Redshift, PostgreSQL, CDP Impala, Athena).
- Hands-on expertise in Python, SQL, and AWS AI services.
- Expert with Github.
- Excellent communications and presentation skills. Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.
- Ability to architect analytic and data science solutions.
- Experience in working in geographically dispersed teams and virtual collaboration.
- Experience working in the pharmaceutical development, manufacturing or supply chain space.
- Experience interpreting analytical results and ascertaining implications to the business.
- Experience interacting with business stakeholders: understanding, anticipating, and fulfilling their insight/analytical information requirements.
- Exceptional creative problem-solving skills to answer key business questions.
- Ability to work with diverse teams across organizational lines and structures.
Benefits
- Annual bonus
- Pension contribution
- Family health insurance
- 27 days annual leave
- Access to BMS Cruiserath on-site gym
- Life assurance