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 rich in diversity. 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: careers.bms.com/working-with-us.
BMS Hyderabad is an integrated global hub where our work is focused on helping patients prevail over serious diseases by building sustainable and innovative solutions. This important science, technology, and innovation center will support a range of technology and drug development activities that will help us usher in the next wave of innovation.
Summary
The Data Scientist II will play a crucial role in supporting operational analytics across GPS, leveraging a blend of traditional Machine Learning (ML) and emerging Generative AI (Gen AI) techniques. This role will ensure products continue to serve the most pressing GPS analytics needs, with potential opportunities to build new advanced analytics capabilities like predictive modelling, simulation, and optimization.
The ideal candidate possesses a strong interest in solving business problems and an eagerness to work on all parts of the analytics value chain, from partnering with IT on data pipelines to operationalizing models for the benefit of patients worldwide.
Roles & Responsibilities
- Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations, leveraging both traditional ML and Gen AI techniques where appropriate, based on an understanding of GPS priorities, critical issues, and value levers.
- Collaborate with stakeholders to identify business problems, goals, and KPIs to design, establish and maintain data pipelines, models, and business-facing reports and dashboards.
- Design, develop, and implement a broad array of GPS analytics that solve complex problems in a computationally efficient and statistically valid manner, utilizing a mix of traditional ML and Gen AI approaches.
- Identify and implement enhancement and automation of high-value analytics while ensuring efficient function.
- Collaborate proactively with IT teams to develop and enhance data infrastructure, data pipelines, and analytical tools for efficient data collection, processing, and analysis.
- Prepare reports, dashboards, and presentations to communicate analyses to stakeholders at various levels of the organization, effectively explaining both traditional ML and Gen AI concepts.
- Follow technical best practices in building, maintaining, and enhancing analytics output with scalable solutions, including code version control, pipeline management, deployment, and documentation.
- Provide training, guidance, and mentorship to junior analysts and team members when required.
- Work hours that provide sufficient overlap with standard East Coast US working hours.
Skills and competencies
Machine Learning & Artificial Intelligence:
- Strong analytical thinking and problem-solving skills with the ability to analyze complex data sets and draw meaningful conclusions using both traditional ML and Gen AI techniques.
- Experience with Open AI, Hugging face, Semantic Kernel, Langchain LLaMa2 etc.
- Proficiency in statistical analysis techniques and methodologies, including experience with relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
Data Management & Analytics:
- Agile problem-solving ability and desire to learn new things and continuously improve.
- Solid understanding of digital analytics tools and platforms and version control systems (e.g., dbt, Airflow, Git, GitHub).
- Experience working with large datasets, data visualization tools (e.g., Tableau), statistical software packages (R, Python), and advanced SQL.
Communication & Collaboration:
- Strong business acumen and strategic thinking, with the ability to translate analytical findings into actionable insights and recommendations.
- Strong communication skills with the ability to present complex ML and Gen AI information to non-technical stakeholders in a clear manner.
- Strong project management skills and the ability to work independently or as part of a team.
Experience
- Bachelor's or Master's degree in an analytical, engineering, operations research or scientific discipline.
- Proven experience (typically 3-5 years) in a data and analytics role, including direct development experience in building and deploying ML and/or AI models.
Additional Information
- Experience with major GPS applications (SAP, Oracle, LIMS, Infinity, MES) is a plus.
- Experience in the biopharma industry (product development, manufacturing, supply chain, and quality control) is a significant plus.
#GBOHYD #LI-Hybrid
If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
On-site Protocol
BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to [email protected]. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
