Analytics Engineer III

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: careers.bms.com/working-with-us. Summary: The Analytics Engineer position is a specialized role within BIA Hyderabad. They will focus on applying advanced data engineering, machine learning and MLOps techniques to extract insights from complex data sets and drive data-driven decision-making processes. The Analytics Engineer will collaborate with cross-functional teams, conduct in-depth analysis, develop data models, and provide actionable recommendations to enhance business performance and drive innovation. Roles & Responsibilities •Hands-on design, deployment, operations, maintenance of pipelines for data science related products and machine learning solutions, ensuring reliability, scalability, and maintainability. •Develop and maintain cutting-edge tools and frameworks empowering data scientists to work efficiently and effectively. •Develop a close working relationship with data science teams to facilitate and implement best practices relating to machine learning engineering, data engineering, and MLOps. •Collaborate with stakeholders to define project objectives, formulate data-driven hypotheses and identify KPIs for analysis •Collaborate with data scientists and IT teams to ensure data availability, quality, and reliability for analysis and modeling •Gather, pre-process and explore large-scale structured and unstructured data from diverse sources, including clinical trials, patient records and genetic data •Gather, preprocess and explore large-scale structured and unstructured data from diverse sources, including clinical trials, patient records and genetic data •Stay up-to-date with the latest methodologies and best practices in data engineering, machine learning, MLOps and the biopharma industry •Mentor and provide guidance to junior analytics engineers and actively participate in knowledge sharing and team development Skills and competencies •Experience with building and deploying data science and data engineering solutions using established industry methods (MLOps, Git) to pharmaceutical related datasets is preferred •Proficiency in Databricks and AWS •Proficiency in programming languages such as Python or R for data manipulation, analysis and modeling •Familiarity with data visualization tools such as Tableau, Power BI or matplotlib/seaborn for effective communication of findings •Strong understanding of experimental design, hypothesis testing and A/B testing methodologies •Excellent problem-solving skills and the ability to think critically and creatively to tackle complex business challenges •Excellent communication and presentation skills to convey complex concepts to technical and non-technical stakeholders •Experience with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark) is a plus •Strong organizational and time management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment Experience •We welcome a master's or Ph.D. in a relevant fields such as Data Engineering, Statistics, Computer Science or a related discipline. •Proven experience (typically 5+ years) in a data engineer role, preferably within the biopharma or pharmaceutical industry •Strong background in data engineering, machine learning and MLOps techniques •Experience in handling and analyzing large-scale structured and unstructured data sets using SQL, NoSQL or similar technologies •Demonstrated ability to develop and implement predictive models and machine learning algorithms •Experience working with healthcare data, clinical trials, or related domains is highly desirable •Solid understanding of the biopharma industry, including regulatory requirements, clinical trial design, and healthcare data sources 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 a supportive culture, promoting global participation 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 an 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. Supporting People with Disabilities 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 adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. Candidate Rights 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/ Data Protection We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. 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. R1600887 : Analytics Engineer III Data Privacy Link We’re creating innovative medicines for patients fighting serious diseases. We’re also nurturing our own diverse team with inspiring work and challenging career options. No matter the role, each one of us makes a contribution. And that makes all the difference.