Data Scientist (US Value & Access Insights)

Overview

Senior Associate Data Scientist role on Amgen's US Value and Access analytics team, developing and deploying machine learning, operational research, semantic analysis and statistical methods to uncover structure in large data sets and build analytics solutions for customer needs.

What you'll do

• Work on upgrades and manage the execution of a proprietary AI engine built to optimize Copay and other GTN initiatives.
• Ensure models are trained with the latest data and meet SLA expectations.
• Act as a subject matter expert in solving development and commercial questions.
• Work with a global cross-functional team on the AI tool's road map.
• Work in technical teams in development, deployment, and application of applied, predictive, and prescriptive analytics.
• Apply statistical and data mining techniques, including hypothesis testing, machine learning and retrieval processes, to identify trends, create figures, and analyze relevant information.
• Perform exploratory and targeted data analyses using descriptive statistics and other methods.
• Build model and analytics experiment and development pipelines leveraging MLOps.
• Collaborate with technical teams to translate business needs into technical specifications, focusing on AI-driven automation and insights.
• Develop and integrate custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities.

What you'll need

• Experience with one or more analytic software tools or languages such as R and Python.
• Foundational understanding of the US pharmaceutical ecosystem and patient support services offerings (Copay), and standard data sets including claims and prescription data.
• Strong foundation in machine learning algorithms and techniques.
• Experience in statistical techniques and hypothesis testing, including regression analysis, clustering and classification.
• Master's degree in computer science, statistics or STEM majors with a minimum of 3 years of Information Systems experience, OR Bachelor's degree in computer science, statistics or STEM majors with a minimum of 5 years of Information Systems experience.

Nice to have

• Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow).
• Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD).
• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• 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 the Databricks platform for data analytics and MLOps.
• Any AWS Developer certification (preferred).
• Any Python and ML certification (preferred).
• Initiative to explore alternate technology and approaches to solving problems.
• Skilled in breaking down problems, documenting problem statements, and estimating efforts.
• 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; team-oriented.

Details

• Location: India - Hyderabad.