Associate Value & Access Insights

Amgen Inc. (IR); Hyderabad; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

Amgen is seeking an Associate Data Scientist to develop and deploy advanced ML, operational research, semantic analysis, and statistics to uncover structure in large datasets. This role involves creating analytics solutions to address customer needs and opportunities.

Collaborate with global teams on AI tool roadmap, implement MLOps pipelines, and develop dashboards and automated workflows enhancing decision-making and efficiency.

Qualifications

• Master’s degree in computer science, statistics or STEM fields.
• Bachelor’s degree with 1–3 years of relevant experience.
• Experience with analytic software and ML basics preferred.

Responsibilities

• Develop and deploy advanced ML, operational research, semantic analysis and statistics methods to uncover structure in large data sets.
• Build analytics solutions addressing customer needs and opportunities.
• Collaborate with global cross-functional teams on the AI tool roadmap and deployment.

Skills

R and Python experience

ML algorithms

Statistics and hypothesis testing

Python and ML libraries

Education

Master’s degree in computer science or STEM

Bachelor’s degree + 1–3 years in CS/Stats/STEM

Tools

TensorFlow

PyTorch

Scikit-learn

MLflow

Job description

Career Category Value and Access 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.

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 tool’s 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

• 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.

Amgen is committed to unlocking the potential of biology for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology. Amgen focuses on areas of high unmet medical need and leverages its biologics manufacturing expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential. For more information, visit www.amgen.com and follow us on www.twitter.com/amgen