Working with Us Challenging. Meaningful. Life-changing. Those arent words that are usually associated with a job. But 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. Youll get the chance to grow and thrive through opportunities uncommon in scale and scope alongside high-achieving teams. Take your career farther than you thought possible.
- Implement data pipelines ML workflow components and platform features following established architecture patterns and coding standards.
- Write readable maintainable testable code with limited guidance after initial design alignment with senior engineers.
- Deliver well-scoped work reliably and on schedule; understand how your work fits into the larger solution.
Problem Solving
- Write and maintain tests for your work; ensure changes are tested before deployment.
- Troubleshoot issues within your assigned pipelines and features with minimal guidance; identify root causes and propose solutions.
- Navigate the codebase and data designs with growing independence after initial orientation.
Collaboration & Growth
- Contribute input to team scoping and design exercises; share observations that improve how the team approaches recurring problems.
- Explain your work clearly to teammates including what you built why and any trade-offs.
- Demonstrate awareness of the business context for your work and how it connects to the teams broader goals.
- Take ownership of your development; actively seek feedback and apply it to strengthen your technical and professional skills.
QUALIFICATIONS
Education
- BA/BS required (quantitative or engineering discipline preferred).
Experience
- 0-2 years of experience in data engineering software engineering ML engineering or a related field; relevant advanced degrees contribute to required years of experience.
Technical Skills
- Proficiency in Python and SQL; familiarity with data pipeline development and common processing patterns.
- Working knowledge of version control (Git) testing practices code review and documentation.
- Exposure to cloud environments (AWS Azure or Databricks); willingness to develop deeper platform proficiency.
- Familiarity with ML concepts and workflows (model training feature engineering data preparation); MLOps experience a plus.
Competencies
- Works effectively within team guidelines and standards.
- Builds positive working relationships with teammates and cross-functional partners.
- Reliable: delivers commitments and communicates proactively when blockers arise.
- Demonstrates curiosity and commitment to growing technical and professional skills.
Working with UsChallenging. Meaningful. Life-changing. Those arent words that are usually associated with a job. But 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 breakthrou...
Working with Us Challenging. Meaningful. Life-changing. Those arent words that are usually associated with a job. But 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. Youll get the chance to grow and thrive through opportunities uncommon in scale and scope alongside high-achieving teams. Take your career farther than you thought possible.
- Implement data pipelines ML workflow components and platform features following established architecture patterns and coding standards.
- Write readable maintainable testable code with limited guidance after initial design alignment with senior engineers.
- Deliver well-scoped work reliably and on schedule; understand how your work fits into the larger solution.
Problem Solving
- Write and maintain tests for your work; ensure changes are tested before deployment.
- Troubleshoot issues within your assigned pipelines and features with minimal guidance; identify root causes and propose solutions.
- Navigate the codebase and data designs with growing independence after initial orientation.
Collaboration & Growth
- Contribute input to team scoping and design exercises; share observations that improve how the team approaches recurring problems.
- Explain your work clearly to teammates including what you built why and any trade-offs.
- Demonstrate awareness of the business context for your work and how it connects to the teams broader goals.
- Take ownership of your development; actively seek feedback and apply it to strengthen your technical and professional skills.
QUALIFICATIONS
Education
- BA/BS required (quantitative or engineering discipline preferred).
Experience
- 0-2 years of experience in data engineering software engineering ML engineering or a related field; relevant advanced degrees contribute to required years of experience.
Technical Skills
- Proficiency in Python and SQL; familiarity with data pipeline development and common processing patterns.
- Working knowledge of version control (Git) testing practices code review and documentation.
- Exposure to cloud environments (AWS Azure or Databricks); willingness to develop deeper platform proficiency.
- Familiarity with ML concepts and workflows (model training feature engineering data preparation); MLOps experience a plus.
Competencies
- Works effectively within team guidelines and standards.
- Builds positive working relationships with teammates and cross-functional partners.
- Reliable: delivers commitments and communicates proactively when blockers arise.
- Demonstrates curiosity and commitment to growing technical and professional skills.
Bristol-Myers Squibb is a global biopharmaceutical company focused on discovering, developing and delivering innovative medicines for patients with serious diseases. Our medicines are helping millions of patients around the world in disease areas such as oncology, cardiovascular, immu
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