AI Data Scientist

Amgen Inc. (IR); Hyderabad; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Amgen India is hiring a Sr. Data Scientist - Data Products & Supply Chain Analytics to design reusable data products that support end-to-end supply chain decisions across manufacturing, planning, logistics, and clinical supply.

You will build scalable analytics workflows using Python, R, SQL, and cloud platforms like Databricks or Snowflake, partnering with data engineers, product owners, and stakeholders to turn data into actionable business insights.

Qualifications

• Master’s degree or PhD in data science, CS, statistics, OR.
• Experience applying data science, forecasting, optimization, ML to business problems.
• Strong programming in Python or R with SQL for data prep.
• Experience with Databricks or Snowflake for scalable analytics.

Responsibilities

• Data product and analytics solution delivery for supply chain challenges.
• Data preparation, integration, and building reusable workflows.
• Partner with owners, engineers, and stakeholders to translate needs into data products.

Skills

Python

R

SQL

Databricks

Snowflake

Data Visualization

APIs

Education

Master’s degree in Data Science, Computer Science, Statistics, Operations Research, Engineering

Tools

Databricks

Snowflake

ETL/ELT

APIs

Job description

Career Category Supply Chain 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 is known today.

ABOUT THE ROLE

Role Description Global Supply Chain (GSC) is accountable for orchestrating end-to-end supply chain strategies and operations that ensure reliable, timely delivery of medicines to patients — powered by data, innovation, and enterprise-wide collaboration. As part of our team expansion at Amgen India, Global Supply Chain is seeking a Sr. Data Scientist - Data Products & Supply Chain Analytics to develop reusable, governed, and scalable analytics and data products that support supply chain, manufacturing, planning, logistics, clinical supply, and operations decision-making.

ROLES & RESPONSIBILITIES

Responsibilities will include, but are not limited to:

• Data product and analytics solution delivery: Develop reusable analytics and data science solutions for supply chain, manufacturing, planning, logistics, clinical supply, and operations business challenges.
• Data preparation and integration: Gather, clean, transform, and integrate data from multiple sources to create reliable datasets for analysis, modeling, visualization, feature engineering, and decision support.
• Reusable analytical workflows: Build reproducible analytical workflows using Python, R, SQL, or similar tools, moving analyses beyond notebooks into maintainable, governed, and reusable solutions.
• Cloud data platform analytics: Use platforms such as Databricks, Snowflake, or similar cloud data environments to prepare large datasets, develop scalable analytics, and support reusable analytical workflows.
• Digital team partnership and data product translation: Partner closely with product owners, data engineers, platform teams, technology teams, and business stakeholders to understand user needs, define analytical questions, translate needs into data product requirements, interpret results, and turn insights into action.
• Analytics application enablement: Partner with technology teams to help deliver analytical and decision-support capabilities through modern application patterns, APIs, cloud deployment approaches, or web-based tools where appropriate.
• Communication and decision translation: Communicate analytical methods, assumptions, findings, recommendations, uncertainty, and implementation tradeoffs clearly to technical and non-technical audiences.
• Analytical excellence and continuous improvement: Promote strong analytical practices, including documentation, version control, testing, validation, reproducibility, reusable methods, technical curiosity, and continuous improvement.

PREFERRED QUALIFICATIONS

• Master’s degree or PhD in Data Science, Computer Science, Statistics, Operations Research, Engineering, Supply Chain Analytics, Applied Mathematics, or a related quantitative field.
• Experience applying data science, statistics, forecasting, simulation, optimization, machine learning, or visualization methods to complex business problems.
• Strong programming skills in Python or R, with strong SQL skills for data preparation, integration, and analysis.
• Experience preparing, integrating, and analyzing complex datasets from multiple systems.
• Experience with Databricks, Snowflake, or similar cloud data platforms for data preparation, feature engineering, scalable analytics, and reusable analytical workflow development.
• Familiarity with data engineering practices, including ETL/ELT, data modeling, pipeline development, and data quality checks.
• Experience moving analytical workflows beyond notebooks into reusable, maintainable, and governed solutions.
• Experience in supply chain, manufacturing, planning, logistics, clinical supply, life sciences, operations analytics, or related domains.
• Familiarity with modern application or web technologies such as React, Node.js, APIs, or cloud deployment patterns, particularly when used to deliver analytical or decision-support tools.
• Ability to partner with business stakeholders, frame analytical questions, translate needs into data product requirements, and communicate insights clearly.
• Strong documentation, version control, testing, validation, and reproducibility practices.

Soft Skills

Excellent problem-solving, storytelling, communication, and interpersonal skills, with the ability to explain technical concepts in clear business language. Strong verbal and written communication skills, with attention to detail, organization, documentation, and presentation abilities. Ability to bridge technical and non-technical teams, synthesize stakeholder inputs, and translate data and AI insights into meaningful business recommendations. Skilled in breaking down complex problems, documenting problem statements, estimating effort, assessing technology tradeoffs, and analyzing implementation impact. Independent, self-motivated, organized, and able to manage multiple priorities in fast-paced, time-sensitive environments. Strong collaboration, facilitation, and team-working skills, including experience working effectively with global virtual teams. Demonstrated ability to deliver results across Agile projects, adapt to setbacks, explore alternative approaches, and maintain persistence through completion. Awareness of industry trends, emerging technologies, and new approaches for solving complex business problems.

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