Senior Associate IS Bus Systems Analyst-Automation and Analytics

You will be joining Amgen as a Senior Associate IS Business Systems Analyst, where you will be leveraging your data science and analytics expertise to contribute to the Digital Workplace Experience (DWX) Automation & Analytics product team. Your role will involve developing, maintaining, and optimizing machine learning models, forecasting tools, and operational dashboards to support strategic decisions for global digital workplace services. **Roles and Responsibilities:** - Design, develop, and maintain predictive models, decision support tools, and dashboards using platforms like Python, R, SQL, Power BI, etc. - Collaborate with delivery teams to integrate data science outputs into business operations for improving efficiency and end-user experience. - Build and automate data pipelines for data ingestion, cleansing, transformation, and model training with structured and unstructured datasets. - Monitor, maintain, and tune models to ensure accuracy and sustained business impact. - Support the operationalization of ML models by working with data engineers and platform teams on integration and automation. - Conduct data exploration, hypothesis testing, and statistical analysis to identify optimization opportunities across various digital workplace services. - Provide data-driven recommendations to enhance automation performance, service delivery, and capacity forecasting. - Develop reusable components, templates, and frameworks to scale analytics and automation across DWX. - Collaborate with other team members to implement best practices in model development and lifecycle management. **Qualifications Required:** - Master's degree / Bachelor's degree with 5 to 9 years of experience in Data Science, Computer Science, IT, or a related field. **Must-Have Skills:** - Proficiency in Python or R with experience in libraries such as scikit-learn, pandas, NumPy, XGBoost, and knowledge of TensorFlow or PyTorch. - Advanced SQL skills with experience in relational databases and data modeling. - Hands-on experience with Databricks notebooks, Delta Lake, MLflow, etc. - Expertise in Power BI or Tableau for data visualization. **Nice-to-Have Skills:** - Experience with MLOps & Automation tools like Airflow, SageMaker, or Azure ML. - Understanding of Generative AI models and hands-on experience with APIs from OpenAI, Azure OpenAI, HuggingFace, etc. - Familiarity with Cloud Platforms such as Azure, AWS, or GCP. - Exposure to ITIL practices, ITSM platforms, and Agile/SAFe environments. **Soft Skills:** - Analytical mindset with attention to detail and data integrity. - Strong problem-solving and critical thinking abilities. - Ability to work independently and drive tasks to completion. - Excellent collaboration and teamwork skills. - Adaptability in a fast-paced, evolving environment. - Clear and concise documentation practices.,