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Benefits & Perks
•Flexible PTO policy
•Health, dental, and vision coverage
•Remote work flexibility
•Learning and development stipend
•Top Tier compensation with equity
•Parental leave program
Required Skills
PyTorch
SQL
Airflow
WHAT YOU DO AT AMD CHANGES EVERYTHING:
At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.THE ROLE:
This hybrid role leverages advanced data science and AI expertise to transform financial and business data into actionable insights, drive predictive modeling, and automate processes for improved efficiency and strategic decision-making. The analyst will collaborate across finance, sales, operations, and data engineering teams to deliver scalable solutions that optimize performance, minimize manual tasks, and support business growth.
THE PERSON: You are a passionate data science professional with strong SQL and programming skills (Python preferred), and a solid understanding of statistics and machine learning algorithms. Detail-oriented and business-savvy, you thrive in fast-paced environments, effectively managing competing priorities and meeting deadlines. You excel in collaborative settings, bringing project management and stakeholder engagement skills, and are comfortable working with large datasets and complex financial systems.
Your strong problem-solving abilities are complemented by an understanding of master data and its impact on financial accuracy. With keen business acumen, you can translate data insights into strategic financial outcomes and communicate effectively with both technical and non-technical stakeholders.
KEY RESPONSIBILITIES:
- Develop and deploy predictive models (e.g., credit risk, fraud detection, revenue forecasting) using machine learning algorithms and time-series techniques (ARIMA, Prophet, XGBoost, Random Forest).
- Design and implement generative AI solutions (LLMs, GANs) for workflow automation, information retrieval, and decision support.
- Build and maintain scalable data pipelines and infrastructure using tools like Airflow, KNIME, Snowflake, Hadoop, and Spark.
- Automate reporting processes and improve data pipelines for accuracy and efficiency.
- Perform exploratory data analysis and create visualizations (Power BI, Tableau, Plotly, Matplotlib) to communicate insights to stakeholders.
- Manage master data across financial systems to ensure consistency and integrity.
- Collaborate with cross-functional teams to translate business needs into technical requirements and deliver impactful solutions.
- Ensure compliance with data governance, financial regulations, and quality standards.
- Continuously experiment with new AI tools and techniques to drive innovation and process improvement.
PREFERRED EXPERIENCE:
- 3+ years of experience in data science, financial analytics, or business intelligence.
- Proficiency in Python, SQL, and ML libraries (Scikit-learn, Tensor Flow, Py Torch).
- Experience with data visualization tools and big data technologies.
- Strong business acumen and ability to communicate technical concepts to non-technical stakeholders.
- Exposure to ERP systems (SAP S4 preferred), master data management, and financial reporting.
- Experience with process improvement, automation, and project-based work.
- Excellent stakeholder management and communication skills.
ACADEMIC CREDENTIALS:
- Bachelor’s degree in Finance, Data Science, Accounting, Statistics, or a related field.
- Chartered Financial Analyst (CFA), Master of Business Administration (MBA), or Certified Public Accountant (CPA) is an advantage.
LOCATION: Penang, Malaysia
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
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About AMD

AMD
PublicA semiconductor company that designs and develops graphics units, processors, and media solutions
10,001+
Employees
Santa Clara
Headquarters
Reviews
3.5
25 reviews
Work Life Balance
3.2
Compensation
4.1
Culture
3.6
Career
3.4
Management
3.1
65%
Recommend to a Friend
Pros
Good compensation and benefits
Positive work environment
Great management and coworkers
Cons
Poor work life balance
Micromanagement and excessive tracking
Too much pressure and workload
Salary Ranges
6 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Data Scientist L2
0 reports
$104,000
total / year
Base
$41,600
Stock
$52,000
Bonus
$10,400
$72,800
$135,200
Interview Experience
5 interviews
Difficulty
3.6
/ 5
Duration
14-28 weeks
Offer Rate
60%
Experience
Positive 20%
Neutral 20%
Negative 60%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
Hiring Manager Interview
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
System Design
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