Perform exploratory and targeted data analyses using descriptive statistics and other methods.
Model/analytics experiment and development pipeline leveraging MLOps.
Collaborate with technical teams to translate the business needs into technical specifications, particularly focusing on AI-driven automation and insights.
Develop and integrate custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities to enhance decision-making and efficiency.
Functional Skills
Must-Have Skills (Not more than 3 to 4)
Experience with one or more analytic software tools or languages like R and Python
Strong foundation in machine learning algorithms and techniques
Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
Good-to-Have Skills
Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription
Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills
Experience with data engineering and pipeline development
Knowledge of NLP techniques for text analysis and sentiment analysis
Experience in analyzing time-series data for forecasting and trend analysis
Experience with AWS, Azure, or Google Cloud
Experience with Databricks platform for data analytics and MLOps
Soft Skills
Initiative to explore alternate technology and approaches to solving problems.
Skilled in breaking down problems, documenting problem statements, and estimating efforts.
Excellent analytical and troubleshooting skills.
Strong verbal and written communication skills
Ability to work effectively with global, virtual teams
High degree of initiative and self-motivation.
Ability to manage multiple priorities successfully.
Team-oriented, with a focus on achieving team goals
Basic Qualifications
Master’s degree in computer science, statistics or STEM majors
Bachelor’s degree and 1 to 3 years of computer science, statistics or STEM majors
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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