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Lead Data Science & Engineering
Job in
500016, Prakāshamnagar, Telangana, India
Listed on 2026-02-08
Listing for:
Bristol Myers Squibb
Full Time
position Listed on 2026-02-08
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst, Data Science Manager, AI Engineer
Job Description & How to Apply Below
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.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more .
Position Lead Data Science & Engineering
Location Hyderabad, India
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.
If you want an exciting and rewarding career that is meaningful, consider joining our diverse team!
As a Lead Data Science Engineer based out of our BMS Hyderabad you are part of the Data Platform team along with supporting the larger Data Engineering community, that delivers data and analytics capabilities for Data Platforms and Data Engineering Community. 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 lead 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 provide career guidance to other team members effectively to unlock full potential.
Prior experience working in an Agile/Product based environment.
Provides strategic feedback to vendors on service delivery and balances workload with vendor teams.
Qualifications & Experience
8+ years of hands-on experience working on implementing and operating data capabilities and cutting-edge data solutions, preferably in a cloud environment. Breadth of experience in…
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