Lead Data Science & Engineering

En Bristol Myers Squibb, nos inspira una sola visión: transformar la vida de los pacientes a través de la ciencia. En oncología, hematología, inmunología y enfermedades cardiovasculares, y una de las líneas de producción más diversas y prometedoras de la industria, cada uno de nuestros apasionados compañeros contribuye a innovaciones que impulsan cambios significativos. Aportamos un toque humano a cada tratamiento en el que somos pioneros. Únete a nosotros y marca la diferencia. 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 technology capabilities that span the full life cycle of data management including data lakehouses, master/reference data management, data quality and analytics/AI ML is needed. 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. 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 Ability to manage multiple stakeholders and communicate progress to the Data Leadership. Ability to craft and architect data solutions, automation pipelines to productionize solutions. Hands-on experience developing and delivering data, ETL solutions with some of the technologies like AWS data services.). Cloudera Data Platform, Tableau labs is a plus. Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Strong programming skills in languages such as Python, PySpark, R, PyTorch, Pandas, Scala etc. Experience with SQL and database technologies such as MySQL, PostgreSQL, Presto, etc. Experience with cloud-based data technologies such as AWS, Azure, or GCP (Preferably strong in AWS) Strong analytical and problem-solving skills Excellent communication and collaboration skills Functional knowledge or prior experience in Lifesciences Research and Development domain is a plus Experience and expertise in establishing agile and product-oriented teams that work effectively with teams in US and other global BMS site. Initiates challenging opportunities that build strong capabilities for self and team Demonstrates a focus on improving processes, structures, and knowledge within the team. Leads in analyzing current states, deliver strong recommendations in understanding complexity in the environment, and the ability to execute to bring complex solutions to completion. AWS Data Engineering/Analytics certification is a plus. En todo el mundo, nos apasiona tener un impacto en la vida de los pacientes con enfermedades graves. Con el poder de aplicar nuestros talentos individuales y perspectivas diversas en una cultura inclusiva, nuestros valores compartidos de pasión, innovación, urgencia, responsabilidad, inclusión e integridad sacan a relucir el mayor potencial de cada uno de nuestros colegas. Bristol Myers Squibb reconoce la importancia del equilibrio y la flexibilidad en nuestro entorno de trabajo. Ofrecemos una amplia variedad de beneficios, servicios y programas competitivos que brindan a nuestros empleados los recursos para perseguir sus metas, tanto en el trabajo como en su vida personal. If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley. R1597676 : Lead Data Science & Engineering Enlace de privacidad de datos Creamos medicamentos innovadores para pacientes que sufren enfermedades graves. También educamos a nuestro diverso equipo a través de trabajo inspirador y opciones profesionales desafiantes. Independientemente de la función, cada uno de nosotros contribuye con algo. Y de esa manera marcamos una gran diferencia.