Working as an Analytics Engineer II at Bristol Myers Squibb involves hands-on design, deployment, and maintenance of pipelines for data science-related products and machine learning solutions, ensuring reliability, scalability, and maintainability. Key responsibilities include collaborating with data science teams to implement best practices, gathering and exploring large-scale structured and unstructured data, and developing predictive models to solve complex business challenges. The ideal candidate will have a strong background in statistical analysis, machine learning, and predictive modeling techniques, and experience working with healthcare data, clinical trials, or related domains is highly desirable.
Requirements
- Hands-on design, deployment, and maintenance of pipelines for data science-related products and machine learning solutions
- Collaboration with data science teams to implement best practices
- Gathering and exploring large-scale structured and unstructured data
- Developing predictive models to solve complex business challenges
- Experience with cloud platforms and big data technologies
- Strong problem-solving skills and ability to think critically and creatively
- Excellent communication and presentation skills
- Experience with data visualization tools and statistical analysis software
Benefits
- Competitive salary
- Benefits package
- Opportunities for growth and development
- Collaborative and dynamic work environment
- Access to cutting-edge technology and tools
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