Data Scientist (US Value & Access Insights)

Amgen; India; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Amgen seeks a Senior Associate Data Scientist to develop and deploy advanced machine learning, optimization, and statistical methods on large datasets. You will create analytics solutions addressing customer needs and work with global teams to evolve the AI tool roadmap.

The role requires expertise in ML, stats, and data mining, and involves building intelligent dashboards and automated workflows to enhance decision-making and efficiency within an AMGEN environment.

Qualifications

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

Responsibilities

• Develop and deploy advanced ML, OR, semantic analysis, and statistical methods on large data sets.
• Create analytics solutions addressing customer needs and opportunities.
• Collaborate with cross-functional teams on AI tool road map and deployment pipelines.
• Build dashboards and automated workflows incorporating AI capabilities for decision-making.

Skills

Python

R

Machine Learning

Education

Master's degree in CS/Statistics/STEM

Bachelor's degree in CS/Statistics/STEM

Tools

Databricks

TensorFlow

Scikit-learn

Docker

Kubernetes

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.

ABOUT THE ROLE

Role Description: As the Senior 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 work on upgrades and manage the execution of Proprietary AI engine built to optimize Copay and other GTN initiatives
• 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
• Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription
• 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

• 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.

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. 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 an accommodation.