Lead Data Science & Engineering

About the job

At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology, and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference. Position Summary At BMS, digital innovation and Information Technology are central to our vision of transforming patients’ lives through science. To accelerate our ability to serve patients around the world, we must unleash the power of technology. We are committed to being at the forefront of transforming the way medicine is made and delivered by harnessing the power of computer and data science, artificial intelligence, and other technologies to promote scientific discovery, faster decision making, and enhanced patient care. The ideal candidate will have a strong background in leading Gen-AI implementation, cloud native services, and will be comfortable working with both structured and unstructured data. Key Responsibilities • Serves as the Subject Matter Expert in Data Science Engineering. • Solution Architect, with an ability to craft Enterprise level Gen-AI, state of the art Solutions. • Proven expertise in both Gen-AI and Data Engineering domains. • Extensive experience in Machine Learning solution development. • Knowledge on building Deep learning networks • Deep knowledge of NLP based solutions on structured & un-structured data. • Deep knowledge in statistical sciences. • AWS cloud expert and architect. • Ability to manage multiple stakeholders and communicate progress to the Data Leadership. • The Data science Engineer will be responsible for designing, building, and maintaining the data products, evolution of the data products, and utilize the most suitable data architecture required for our organization's data needs. • Accountable for delivering high quality, data products and analytic ready data solutions. • Develop and maintain data models to support our reporting and analysis needs. • Optimize data storage and retrieval to ensure efficient performance and scalability. • Collaborate with data architects, data analysts and data scientists to understand their data needs and ensure that the data infrastructure supports their requirements. • Ensure data quality and integrity through data validation and testing. • Implement and maintain security protocols to protect sensitive data. • Stay up-to-date with emerging trends and technologies in data science and analytics • Closely partner with the Enterprise Data and Analytics Platform team, other functional data teams and Data Community leads to shape and adopt data and technology strategy. • Accountable for evaluating Data enhancements and initiatives, assessing capacity and prioritization along with onshore and vendor teams. • Knowledgeable in evolving trends in Data platforms and Product based implementation. • Manage and provide guidance for the data engineers supporting projects, enhancements, and break/fix efforts. • Has end-to-end ownership mindset in driving initiatives through completion. • Comfortable working in a fast-paced environment with minimal oversight. • Mentors and provides career guidance to other team members effectively to unlock full potential.

Requirements

• Machine Learning
• Data Engineering
• Gen-AI
• NLP
• AWS

Qualifications

• 8+ years of experience

Preferred Technologies

• Machine Learning
• Data Engineering
• Gen-AI
• NLP
• AWS

About the company

Working with Us Challenging. Meaningful. Life-changing. Those aren’t 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. You’ll 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.