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채용

채용Amgen

Data Scientist

Amgen

Data Scientist

Amgen

India - Hyderabad

·

On-site

·

Full-time

·

1mo ago

필수 스킬

Python

SQL

Machine Learning

Statistical Modeling

Data Visualization

Career Category

Finance

Job Description

Data Scientist – Compliance & Internal Audit Support (Hyderabad, India)

Overview

We are seeking a highly motivated Data Scientist to join our Corporate Audit and Worldwide Compliance & Business Ethics teams in Hyderabad, India. This role is ideal for a self-starter who thrives on continuous improvement, innovation, and applying advanced analytics to strengthen compliance and audit capabilities. The Data Scientist will leverage both proven technologies and emerging tools — including generative and agentic AI — to deliver impactful insights that drive ethical, compliant, and efficient business operations.

Key Responsibilities

· Apply advanced analytics, statistical modeling, and machine learning to produce actionable insights that support compliance monitoring, auditing, and risk assessment.

· Develop scalable, automated data products and pipelines to improve audit and compliance processes. Stay current with new advances in AI, including generative and agentic AI applications.

·Access and analyze data from multiple enterprise systems (e.g., SAP, Concur, Salesforce.com) to identify patterns, trends, and anomalies in transactions.

· Partner with cross-functional teams across Compliance, Internal Audit, Commercial, R&D, and IS to design and deliver innovative analytics solutions.

· Develop and maintain familiarity with global healthcare compliance standards, U.S. Federal (e.g., Sunshine Act / Open Payments, CMS), state transparency regulations, and industry codes (e.g., PhRMA Code).

· Present complex analyses and insights clearly to diverse audiences, including senior stakeholders.

· Support priority projects and provide ad hoc analytics where needed.

Basic Qualifications

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field, with 4–6 years of relevant experience • OR Master’s degree with 4+ years of relevant experience • OR Ph.D. in a relevant field with 2+ years of experience

Preferred Qualifications

· Strong proficiency in Python and SQL; familiarity with statistical programming and machine learning frameworks.

· Experience with data platforms such as Alteryx, Tableau, Databricks, SAS, or cloud-based solutions (AWS preferred).

· Demonstrated ability to work with structured and unstructured data, including text and natural language processing.

· Hands-on experience with data visualization and building intuitive dashboards for non-technical audiences.

· Familiarity with Audit Board or similar governance, risk, and compliance tools is a plus.

· Proven ability to thrive in a team-oriented, cross-functional environment with strong communication skills.

· Innovative mindset with a passion for leveraging emerging AI technologies in compliance and audit contexts.

· Detail-oriented, proactive, and comfortable managing multiple projects in a dynamic environment.

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총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Amgen 소개

Amgen

Amgen

Public

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

10,001+

직원 수

Thousand Oaks

본사 위치

$138B

기업 가치

리뷰

3.6

10개 리뷰

워라밸

3.2

보상

4.1

문화

3.4

커리어

2.8

경영진

3.5

65%

친구에게 추천

장점

Excellent benefits and health benefits

Good pay and compensation

Supportive management and strong leadership

단점

Limited career growth and promotion opportunities

Work-life balance challenges and long hours

Bureaucratic processes

연봉 정보

1,244개 데이터

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist

0개 리포트

$100,368

총 연봉

기본급

-

주식

-

보너스

-

$85,234

$115,502

면접 경험

5개 면접

난이도

3.0

/ 5

소요 기간

14-28주

합격률

40%

경험

긍정 20%

보통 80%

부정 0%

면접 과정

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Technical/Role-Specific Interview

5

Panel Interview

6

Offer

자주 나오는 질문

Technical Knowledge

Behavioral/STAR

Past Experience

Data Analysis/Statistics

Culture Fit