AI Data Analyst: ML Modeling & Data Insights (Onsite)
Brooks Automation, Inc.
Johor Bahru
Hybrid
MYR 238,000 - 357,001
Full time
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Start fresh or import an existing resume
Job summary
A leading automation solutions provider based in Johor Bahru is seeking an AI Data Analyst responsible for data interpretation, algorithm development, and collaboration with cross-functional teams. The ideal candidate should have a Bachelor's or Master's degree and 3-5 years of experience in AI and machine learning. Strong programming skills in Python and SQL, along with excellent problem-solving abilities, are essential for success in this role. A collaborative and flexible working environment is fostered, with a commitment to diversity and inclusion.
Qualifications
3-5 years of experience in AI and machine learning, CoPilot experience preferred.
Proficiency in programming languages such as Python and SQL.
Basic understanding of enterprise data warehousing and Cloud data platforms.
Responsibilities
Collect, interpret, and analyze large volumes of data from various sources.
Develop algorithms and models to streamline operations.
Ensure data quality and integrity.
Collaborate with the AI team to design machine learning models.
Create data-driven insights and visualizations.
Communicate results and ideas to key decision-makers.
Skills
Programming in Python
Experience in machine learning
SQL proficiency
Data visualization
Attention to detail
Problem-solving
Strong communication skills
Education
Bachelor's or Master's degree in a relevant field
Job description
A leading automation solutions provider based in Johor Bahru is seeking an AI Data Analyst responsible for data interpretation, algorithm development, and collaboration with cross-functional teams. The ideal candidate should have a Bachelor's or Master's degree and 3-5 years of experience in AI and machine learning. Strong programming skills in Python and SQL, along with excellent problem-solving abilities, are essential for success in this role. A collaborative and flexible working environment is fostered, with a commitment to diversity and inclusion.