Design and develop various analyses (descriptive, diagnostic, predictive, prescriptive) to provide concrete insights for timely decision-making
Collaborate with partners to build scalable AI/ML products and apply consistent approaches to solve complex business problems
Identify key business questions, prioritize resources, and design analytical frameworks
Lead end-to-end development, deployment, and sustainment of digital and analytics solutions
Partner with IS and data engineering teams to define data requirements and ensure robust deployment pipelines
Build, lead, and develop a high-performing India-based Data Sciences team
Own end-to-end delivery of analytics and data science projects executed in India
Act as a liaison between India-based teams and onshore R&D, Strategy, and IS partners
Motivate, coach, and serve as a role model for globally distributed teams
Ensure all projects follow Amgen SOPs and meet service-level expectations
Qualifications Required:
Basic Qualifications:
Any degree and 12-17 years of experience in statistics, data science, operations research, mathematics, econometrics, business administration, or a related quantitative field
Preferred Qualifications:
12-17 years of experience delivering complex analytical projects
Experience building, deploying, and optimizing machine learning models
Strong ability to translate business requirements into analytical plans
Proficiency in Python, R, Scala, Java, SQL, and BI tools
Experience in advanced analytics, AI/ML, NLP, and statistical modeling
Strong written, verbal, and presentation skills
Familiarity with DevOps, Agile methodologies, and modern software development practices
Bio/Pharmaceutical industry experience preferred Role Overview:
You will be responsible for leading and collaborating with business leaders to design, implement, and scale sophisticated analytical models and digital solutions that drive measurable R&D impact. Additionally, you will serve as a people and delivery leader for an India-based data science team, accountable for building, developing, and scaling advanced data science capabilities within Amgen India. Key Responsibilities:
Design and develop various analyses (descriptive, diagnostic, predictive, prescriptive) to provide concrete insights for timely decision-making
Collaborate with partners to build scalable AI/ML products and apply consistent approaches to solve complex business problems
Identify key business questions, prioritize resources, and design analytical frameworks
Lead end-to-end development, deployment, and sustainment of digital and analytics solutions
Partner with IS and data engineering teams to define data requirements and ensure robust deployment pipelines
Build, lead, and develop a high-performing India-based Data Sciences team
Own end-to-end delivery of analytics and data science projects executed in India
Act as a liaison between India-based teams and onshore R&D, Strategy, and IS partners
Motivate, coach, and serve as a role model for globally distributed teams
Ensure all projects follow Amgen SOPs and meet service-level expectations
Qualifications Required:
Basic Qualifications:
Any degree and 12-17 years of experience in statistics, data science, operations research, mathematics, econometrics, business administration, or a related quantitative field
Preferred Qualifications:
12-17 years of experience delivering complex analytical projects
Experience building, deploying, and optimizing machine learning models
Strong ability to translate business requirements into analytical plans
Proficiency in Python, R, Scala, Java, SQL, and BI tools
Experience in advanced analytics, AI/ML, NLP, and statistical modeling
Strong written, verbal, and presentation skills
Familiarity with DevOps, Agile methodologies, and modern software development practices
