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Finance Data Science Lead - Predictive Analytics & Automation

AMD

Penang

Hybrid

MYR 90,000 - 120,000

Full time

4 days ago
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Job summary

A leading semiconductor company is seeking a Senior Finance Analyst with expertise in data science and analytics. In this hybrid role, you will transform financial data into actionable insights, develop predictive models, and automate processes to enhance efficiency. The ideal candidate should have over 3 years of experience in data science, strong proficiency in SQL and Python, and excellent problem-solving skills to effectively manage large datasets and collaborate with cross-functional teams. This position is based in Penang, Malaysia.

Qualifications

  • 3+ years of experience in data science, financial analytics, or business intelligence.
  • Solid understanding of statistics and machine learning algorithms.
  • Strong business acumen with the ability to communicate technical concepts.

Responsibilities

  • Develop and deploy predictive models using machine learning algorithms.
  • Design and implement generative AI solutions for workflow automation.
  • Build and maintain data pipelines and infrastructure.
  • Automate reporting processes for accuracy and efficiency.
  • Manage master data across financial systems.

Skills

SQL
Python
Machine Learning
Data Visualization
Problem Solving

Education

Bachelor’s degree in Finance, Data Science, Accounting, Statistics, or a related field

Tools

Power BI
Tableau
Scikit-learn
TensorFlow
PyTorch
Airflow
Snowflake
Hadoop
Spark
Job description
A leading semiconductor company is seeking a Senior Finance Analyst with expertise in data science and analytics. In this hybrid role, you will transform financial data into actionable insights, develop predictive models, and automate processes to enhance efficiency. The ideal candidate should have over 3 years of experience in data science, strong proficiency in SQL and Python, and excellent problem-solving skills to effectively manage large datasets and collaborate with cross-functional teams. This position is based in Penang, Malaysia.
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