Analytics Engineer II

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 statistical and machine learning techniques to extractinsights 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 predictive 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​

• Gather, pre-process and explore large-scale structured and unstructured data from diverse sources, including clinical trials, patient records and genetic data​

• Conduct exploratory data analysis (EDA) to identify patterns and anomalies in the data and propose solutions to business problems​

• Develop and implement predictive models (e.g., regression, clustering, time series forecasting) to solve complex business challenges​

• Collaborate with data engineers and IT teams to ensure data availability, quality, and reliability for analysis and modeling​

• Communicate complex analytical findings and insights to both technical and non-technical stakeholders through clear and compelling visualizations, reports and presentations​

• Stay up-to-date with the latest methodologies and best practices in statistical analysis, machine learning, and the biopharma industry​

• Mentor and provide guidance to junior data scientists and actively participate in knowledge sharing and team development initiatives​

Skills and competencies

• Experience with building and deploying data science and data engineering solutions using established industry methods (MLOps, Git) topharmaceutical 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 bachelor’s, master's orPh.D. degree in a relevant field such asData Science, Statistics, ComputerScience or a related discipline.​

• Proven experience (typically 2 to 5 years)in a data science role, preferably withinthe biopharma or pharmaceutical industry​

• Strong background in statistical analysis,machine learning, and predictivemodelling techniques​

• Experience in handling and analyzinglarge-scale structured and unstructureddata sets using SQL, NoSQL or similartechnologies​

• Demonstrated ability to develop andimplement predictive models andmachine learning algorithms​

• Experience working with healthcare data,clinical trials, or related domains is highlydesirable​

• Solid understanding of the biopharmaindustry, including regulatoryrequirements 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.

R1600886 : Analytics Engineer II