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Sr. Data Scientist

Amgen

Sr. Data Scientist

Amgen

India - Hyderabad

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Healthcare

401(k)

Equity

Flexible Hours

Learning Budget

Healthcare

401k

Equity

Flexible Hours

Learning

Required Skills

Advanced analytics

Machine learning

Statistical modeling

Data science

Python

R

SQL

Career Category

Finance

Job Description

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Overview:

We are seeking a highly experienced and motivated Senior Data Scientist to join our Corporate Audit and Worldwide Compliance & Business Ethics teams in Hyderabad, India. This role is ideal for a strategic thinker and technical leader who thrives on driving innovation, leading analytics initiatives, and mentoring others. The Senior Data Scientist will leverage advanced analytics, machine learning, and emerging AI technologies — including generative and agentic AI — to enhance compliance monitoring, audit capabilities, and risk management processes.
This position combines technical expertise, project leadership, and cross-functional collaboration to strengthen Amgen’s global compliance and audit operations.

Key Responsibilities:

  • Lead the design, development, and deployment of advanced analytics, statistical models, and machine learning solutions to generate actionable insights that enhance compliance monitoring, auditing, and risk assessment.

  • Manage and oversee data science projects end-to-end, including project scoping, planning, execution, and delivery; ensure quality control (QC) and validation of work produced by junior data scientists.

  • Develop scalable, automated data pipelines and AI-driven analytics products to improve efficiency and accuracy in audit and compliance processes.

  • Partner with cross-functional stakeholders across Compliance, Internal Audit, Commercial, R&D, and Information Systems to design and implement analytics solutions aligned with business priorities.

  • Access, integrate, and analyze data from multiple enterprise systems (e.g., SAP, Concur, Salesforce.com) to identify trends, anomalies, and compliance risks.

  • Serve as a technical and analytical mentor to data scientists and analysts, promoting best practices in data science methodology, documentation, and reproducibility.

  • Stay current with emerging technologies and techniques, including generative AI, agentic AI, and automation frameworks, to continuously advance analytical capabilities.

  • Effectively communicate complex analytical concepts and findings to both technical and non-technical audiences, including senior leaders.

  • Contribute to strategic planning and roadmap development for analytics initiatives within Compliance and Internal Audit.

Basic Qualifications:

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field, with 8–14 years of relevant experience

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Apply now for a career that defies imagination

Objects in your future are closer than they appear. Join us.

careers.amgen.com

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided 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.

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About Amgen

Amgen

A biotechnology company that develops and manufactures human therapeutics for various illnesses and diseases.

10,001+

Employees

Thousand Oaks

Headquarters

$138B

Valuation

Reviews

3.8

2 reviews

Work Life Balance

2.5

Compensation

3.0

Culture

3.0

Career

4.0

Management

3.0

70%

Recommend to a Friend

Pros

Professional development opportunities

Exposure to diverse functions and projects

Large-scale project experience

Cons

Understaffed with high output expectations

Limited permanent job opportunities

Temporary contract limitations

Salary Ranges

1,544 data points

L2

L3

L4

L5

L6

L2 · Financial Analyst L2

0 reports

$94,068

total / year

Base

$37,627

Stock

$47,034

Bonus

$9,407

$65,848

$122,288

Interview Experience

3 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 33%

Negative 67%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Round Interview

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience