Associate Value & Access Insights

Amgen Technology; Hyderabad; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Amgen seeks an Associate Data Scientist to develop and deploy advanced machine learning and analytics methods. You will build an AI engine to optimize Copay, ensure models stay updated with latest data, and collaborate with a global team on AI tools roadmap.

Expect hands-on work in applied analytics, forecasting, and automated workflows that enhance decision-making. We value strong Python/R skills, ML library experience, and a solid foundation in statistics with the ability to work across

Qualifications

• Masters or Bachelors in CS/Statistics/STEM with 1–3 years of experience.
• Strong foundation in machine learning algorithms and techniques.
• Experience with statistical techniques and hypothesis testing; regression, clustering, classification.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).

Responsibilities

• Develop and deploy advanced ML, operational research, and analytics methods.
• Build, upgrade and manage AI engine to optimize Copay workflows.
• Ensure models are trained with latest data and meet SLA expectations.
• Collaborate with global teams on AI tools roadmap; translate business needs into specs.
• Create analytics solutions and intelligent dashboards to improve decision making.

Skills

R and Python

Machine learning

Statistics & hypothesis testing

Python programming

Education

Masters in CS/Statistics/STEM

Bachelors in CS/Statistics/STEM with 1–3 years

Tools

MLflow

Kubeflow

Airflow

Docker

Kubernetes

CI/CD

Cloud platforms (AWS/GCP/Azure)

Databricks

Job description

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the worlds toughest diseases, and make peoples 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 whats known today.

Role Description:

As the Associate 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:

• Ability to build, upgrade and manage the execution of Proprietary AI engine built to optimize Copay
• Ensure models are trained with the latest data and meet the SLA expectations
• Act as a subject matter expert in solving development and commercial questions
• Work with a global cross functional team on the AI tools road map
• 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.
• 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:

• Masters degree in computer science, statistics or STEM majors
• Bachelors 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.