Amgen

Senior Data Scientist(Data & Analytics) - Python

Hyderabad, India · On-site
Salary not published
Posted 2 months ago

From Amgen's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

About the role

In this vital role, you will join Amgen's Transformative Digital Capabilities (TDC) organization within Process Development and help accelerate digital transformation through analytics, data products, and AI-enabled solutions.

What they ask for vs. your profile

Must have

Machine learning
Data visualization
Generative AI
LLMs
Python
Stakeholder management
Statistics
UX design
Agile
Data governance
Forecasting
Manufacturing

Your match

Career roadmap: Data ScientistWhat to learn, how to practice and free resources, from beginner to expert.

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Hi [Name], I just applied for the Senior Data Scientist(Data & Analytics) - Python role at Amgen. My background in [your most relevant experience] lines up well with what the team is looking for. Would you be open to a quick chat, or could you point me to the right person on the team? Thank you!

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Amgen

Senior Data Scientist(Data & Analytics) - Python

Hyderabad, India · On-site
Salary not published
Posted 2 months ago

From Amgen's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

About the role

Career Category
Process Development

Job Description

How might you defy imagination?

At Amgen, our shared mission to serve patients drives all that we do. In this vital role, you will join Amgen's Transformative Digital Capabilities (TDC) organization within Process Development and help accelerate digital transformation through analytics, data products, and AI-enabled solutions.

What will you do

As a Data Scientist, you will partner with scientists, engineers, business stakeholders, and technology teams to unlock the value of Process Development data. You will lead analytical initiatives that improve decision-making, increase data accessibility and usability, and enable scalable digital and AI capabilities across Process Development. You will work across a range of initiatives spanning data strategy, advanced analytics, process optimization, digital products, and data science solutions that improve business outcomes and accelerate innovation.

A successful candidate will independently manage multiple assignments, anticipate and prevent potential problems, develop practical solutions aligned to operational objectives, and provide guidance to other professionals.

Job Requirements

Partner with stakeholders to identify and prioritize opportunities where analytics, AI, or data science can drive measurable value.

Lead the design and development of analytical solutions, dashboards, models, and data products that support scientific and business decision-making.

Show the full description

Apply statistical, machine learning, and data science methods to solve complex business and scientific problems.

Drive exploratory analysis, trend analysis, forecasting, and modeling using multiple sources of data.

Contribute to the development and deployment of AI-enabled solutions, including machine learning and generative AI use cases where appropriate.

Improve data accessibility, usability, quality, and stewardship in partnership with data, product, and engineering teams.

Translate business problems into analytical approaches, define success metrics, and communicate recommendations to technical and non-technical audiences.

Lead or co-lead small projects or workstreams and provide guidance to peers on analytical methods and best practices.

Help shape standards and repeatable approaches for analytics, visualization, and data science delivery.

Stay current with emerging technologies, data science methodologies, and industry best practices and apply them pragmatically to Amgen's environment.

Basic Qualifications

Master's degree OR Bachelor's degree and 7 - 11 years of relevant experience

Preferred Qualifications

Experience applying data science, analytics, or statistical methods to solve complex business or scientific problems.

Strong proficiency in Python, R, SQL, or related analytical programming and query languages.

Experience designing dashboards and visualizations using Spotfire, Tableau, Power BI, or similar tools.

Experience developing and deploying analytical models, decision-support tools, or data products.

Understanding of data governance, metadata, data quality, and data management principles.

Familiarity with machine learning, AI, and generative AI concepts and practical applications.

Strong stakeholder engagement and communication skills with the ability to explain analytical insights clearly.

Experience working in cross-functional teams and Agile environments.

Experience in biotechnology, pharmaceuticals, manufacturing, or other regulated industries preferred.

What they ask for vs. your profile

Must have

Machine learning
Data visualization
Generative AI
LLMs
Python
Stakeholder management
Statistics
UX design
Agile
Data governance
Forecasting
Manufacturing

What they ask for vs. your profile

Must have

Machine learning
Data visualization
Generative AI
LLMs
Python
Stakeholder management
Statistics
UX design
Agile
Data governance
Forecasting
Manufacturing

Your match

A free account lets you apply, save this job, see how well you match and check your resume against it.

Career roadmap: Data ScientistWhat to learn, how to practice and free resources, from beginner to expert.

Reach the hiring team

A short note to a recruiter or the hiring manager after you apply can get your application read sooner.

ATS check

AI ready

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