US Value & Access Insights Mgr

Amgen; Hyderabad; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Amgen is seeking a Senior Data Scientist to develop and deploy advanced machine learning, operational research, and statistical methods on large datasets. You will uncover actionable insights to address customer needs and opportunities, including Copay optimization and related transformations.

The role involves leading end-to-end analytics projects, guiding data scientists, and collaborating with global teams to translate business requirements into AI-driven solutions and automated dashboards.

Qualifications

• Foundational understanding of US pharmaceutical ecosystem and patient support services (Copay) data sets.
• Experience with analytic tools/languages like R and Python.
• Strong foundation in machine learning algorithms and techniques.
• Experience in statistical techniques and hypothesis testing, regression, clustering, and classification.

Responsibilities

• Drive full lifecycle of Data Science projects and guide junior scientists.
• Own and manage AI engine for Copay optimization and related transformations.
• Support Gross to Net and other transformation initiatives.
• Ensure models are trained on latest data and meet SLA expectations.
• Lead AI tool road map with a global cross-functional team.
• Work on applied, predictive, and prescriptive analytics.
• Apply hypothesis testing, data mining, and retrieval techniques to identify trends.

Skills

R & Python

ML algorithms

Statistical methods

Hypothesis testing

Education

Bachelor's in CS/Stats/STEM

Tools

Docker

Kubernetes

CI/CD

MLflow

Job description

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.

ABOUT THE ROLE

Role Description:

As the Senior Data Scientist at Amgen, you will be responsible for developing and deploying advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. This role involves creating analytics solutions to address customer needs and opportunities.

Roles & Responsibilities:

• Accountable to drive full lifecycle of Data Science projects delivery and ability to guide data scientists in shaping the developing the solution and act as a subject matter expert in solving development and commercial questions
• Assume the role of business owner and manage the Proprietary AI engine built to optimize Copay
• Support Amgen Gross to Net and other V&A Transformation initiatives
• Ensure models are trained with the latest data and meet the SLA expectations
• Manage AI tool’s road map, working with a global cross functional team
• Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
• Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.
• Perform exploratory and targeted data analyses using descriptive statistics and other methods.
• Model/analytics experiment and development pipeline leveraging MLOps.
• Oversee efforts of 1-3 associates, including setting performance standards, managing their staffing, and monitoring performance
• 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):

• Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription
• 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

Good-to-Have Skills:

• 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 Databricks platform for data analytics and MLOps

Professional Certifications (please mention if the certification is preferred or mandatory for the role):

• Any AWS Developer certification (preferred)
• Any Python and ML certification (preferred)

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:

• Bachelor’s degree in computer science, statistics or STEM majors with 7-12 years of Information Systems experience.

EQUAL OPPORTUNITY STATEMENT

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.