Senior Data Scientist - Biotech and Pharma Domain

Role Overview: As a Senior Data Scientist at Amgen, you will play a crucial role in accelerating scientific discovery and decision-making across Research & Development. You will independently design, build, implement, and maintain advanced analytical solutions using modern statistical, data science, and AI/ML techniques. Collaborating closely with global R&D stakeholders, you will provide actionable insights, deliver key performance metrics, and implement cutting-edge analytics solutions aligned with business strategies. Key Responsibilities: - Apply an analytics-first mindset by designing and delivering advanced analytical solutions for R&D - Independently own analytical problem solving from concept through implementation - Serve as a subject matter expert for data, analytics, and metrics, providing practical insights to stakeholders - Partner with business stakeholders to translate strategic objectives into well-scoped analytical approaches - Implement cutting-edge analytics, AI/ML, and automation solutions across R&D use cases - Collaborate with onshore DDS leaders, business partners, and IS/DTI teams to deliver analytics solutions aligned with global standards - Establish active communication with teams across functions and geographies to ensure global alignment - Own run support for deployed analytics and data science solutions, including monitoring and issue resolution - Develop deep business domain knowledge to understand stakeholder needs and priorities - Apply appropriate statistical, predictive, and advanced analytics techniques to answer complex business questions Qualifications Required: - Bachelor's or Master's degree with 8 to 12 years of experience - Bachelors degree or higher in life science, data science, computer science, business administration, or related field - 6+ years of experience delivering analytics platforms, advanced analytics, or data science solutions - Experience working effectively in globally distributed delivery models - Strong analytical, problem-solving, and storytelling skills - Proficiency in analytics and visualization tools such as PowerBI, Tableau, Spotfire, etc. - Hands-on experience with Databricks, Python, R, Spark, or similar tools - Familiarity with web application development tools (e.g., Shiny, Dash, React) - Working knowledge of SQL and relational databases - Understanding of cloud platforms and services - Experience with Agile or similar delivery methodologies - Passion for continuous learning and staying current with emerging analytics and technology trends (Note: Additional details about the company were not included in the provided job description.) Role Overview: As a Senior Data Scientist at Amgen, you will play a crucial role in accelerating scientific discovery and decision-making across Research & Development. You will independently design, build, implement, and maintain advanced analytical solutions using modern statistical, data science, and AI/ML techniques. Collaborating closely with global R&D stakeholders, you will provide actionable insights, deliver key performance metrics, and implement cutting-edge analytics solutions aligned with business strategies. Key Responsibilities: - Apply an analytics-first mindset by designing and delivering advanced analytical solutions for R&D - Independently own analytical problem solving from concept through implementation - Serve as a subject matter expert for data, analytics, and metrics, providing practical insights to stakeholders - Partner with business stakeholders to translate strategic objectives into well-scoped analytical approaches - Implement cutting-edge analytics, AI/ML, and automation solutions across R&D use cases - Collaborate with onshore DDS leaders, business partners, and IS/DTI teams to deliver analytics solutions aligned with global standards - Establish active communication with teams across functions and geographies to ensure global alignment - Own run support for deployed analytics and data science solutions, including monitoring and issue resolution - Develop deep business domain knowledge to understand stakeholder needs and priorities - Apply appropriate statistical, predictive, and advanced analytics techniques to answer complex business questions Qualifications Required: - Bachelor's or Master's degree with 8 to 12 years of experience - Bachelors degree or higher in life science, data science, computer science, business administration, or related field - 6+ years of experience delivering analytics platforms, advanced analytics, or data science solutions - Experience working effectively in globally distributed delivery models - Strong analytical, problem-solving, and storytelling skills - Proficiency in analytics and visualization tools such as PowerBI, Tableau, Spotfire, etc. - Hands-on experience with Databricks, Python, R, Spark, or similar tools - Familiarity with web application development tools (e.g., Shiny, Dash, React) - Working knowledge of SQL and relational datab