Job
Description
You will be joining Amgen, a company that utilizes biology and technology to combat severe diseases and improve the lives of many individuals. Amgen has been a pioneer in the biotechnology industry for over 40 years and continues to lead in innovation by leveraging technology and genetic data. In your role as a Data Scientist at Amgen, your responsibilities will include: - Leading the full lifecycle of Data Science projects and guiding data scientists in developing solutions - Supporting transformation initiatives such as Amgen Gross to Net and other V&A projects - Ensuring models are trained with the latest data and meet SLA expectations - Managing the AI tools roadmap with a global cross-functional team - Working on development, deployment, and application of analytics solutions - Utilizing technical skills like hypothesis testing, machine learning, and data mining techniques - Overseeing the efforts of associates and setting performance standards - Collaborating with technical teams to translate business needs into technical specifications - Developing custom applications, intelligent dashboards, and automated workflows with AI capabilities The must-have skills for this role include: - Experience with analytic software tools like R and Python - Strong foundation in machine learning algorithms and techniques - Experience in statistical techniques, hypothesis testing, regression analysis, clustering, and classification Good-to-have skills for this role are: - Experience in MLOps practices and tools like MLflow, Kubeflow, and Airflow - Proficiency in Python and relevant ML libraries such as TensorFlow, PyTorch, and Scikit-learn - Outstanding analytical and problem-solving skills, ability to learn quickly, and excellent communication skills - Experience with data engineering, NLP techniques, time-series data analysis, and cloud platforms like AWS, Azure, or Google Cloud - Experience with Databricks platform for data analytics and MLOps While not mandatory, the following certifications are preferred for this role: - Any AWS Developer certification - Any Python and ML certification Additionally, some soft skills that will be beneficial in this role include: - Initiative to explore alternate technology solutions - Strong problem-solving and analytical skills - Effective communication skills and ability to work in global, virtual teams - Self-motivation, ability to manage multiple priorities, and a focus on achieving team goals To qualify for this role, you should have a Master's degree in computer science, statistics, or STEM majors with a minimum of 5 years of Information Systems experience, or a Bachelor's degree in the same fields with a minimum of 7 years of Information Systems experience. Amgen is committed to providing equal opportunities and reasonable accommodations for individuals with disabilities during the job application process, interviews, and employment. If you require an accommodation, please reach out to us. You will be joining Amgen, a company that utilizes biology and technology to combat severe diseases and improve the lives of many individuals. Amgen has been a pioneer in the biotechnology industry for over 40 years and continues to lead in innovation by leveraging technology and genetic data. In your role as a Data Scientist at Amgen, your responsibilities will include: - Leading the full lifecycle of Data Science projects and guiding data scientists in developing solutions - Supporting transformation initiatives such as Amgen Gross to Net and other V&A projects - Ensuring models are trained with the latest data and meet SLA expectations - Managing the AI tools roadmap with a global cross-functional team - Working on development, deployment, and application of analytics solutions - Utilizing technical skills like hypothesis testing, machine learning, and data mining techniques - Overseeing the efforts of associates and setting performance standards - Collaborating with technical teams to translate business needs into technical specifications - Developing custom applications, intelligent dashboards, and automated workflows with AI capabilities The must-have skills for this role include: - Experience with analytic software tools like R and Python - Strong foundation in machine learning algorithms and techniques - Experience in statistical techniques, hypothesis testing, regression analysis, clustering, and classification Good-to-have skills for this role are: - Experience in MLOps practices and tools like MLflow, Kubeflow, and Airflow - Proficiency in Python and relevant ML libraries such as TensorFlow, PyTorch, and Scikit-learn - Outstanding analytical and problem-solving skills, ability to learn quickly, and excellent communication skills - Experience with data engineering, NLP techniques, time-series data analysis, and cloud platforms like AWS, Azure, or Google Cloud - Experience with Databricks platform for data analytics and MLOps While not mandatory, the following c
