Senior AI/ML Data Scientist — Drive Data Solutions

Sandisk; Batu Kawan; On-site; MYR 120,000 - 180,000; Full time

Job summary

Sandisk is seeking a skilled Data Scientist 3 to join the analytics team in Malaysia. You will design and implement data science solutions addressing complex business problems, building ML models, ETL pipelines, and collaborating with engineering, product, and business stakeholders to translate requirements into analytical solutions.

The ideal candidate will be detail-oriented, analytical, and organized, with 3+ years of data science experience and strong Python/R and SQL skills.

Qualifications

• Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• 3+ years of professional experience in data science, ML, analytics, or related role.
• Strong expertise in ML algorithms, statistical modeling, and predictive analytics.
• Proficiency in Python and/or R for data analysis and model development.
• Proficiency in SQL and relational databases.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Design, develop, and implement machine learning models and statistical analyses.
• Build and optimize data pipelines and ETL processes for data quality and flow.
• Collaborate with cross-functional teams to translate requirements into analytical solutions.
• Conduct exploratory data analysis and present actionable insights to stakeholders.
• Contribute to data quality standards, validation frameworks, and monitoring systems.
• Stay current with data science technologies and industry trends.

Skills

3+ years data science

ML algorithms

Python/R

SQL proficiency

Analytical skills

Communication skills

Education

Master's degree in Data Science/CS/Statistics/Math

Tools

Spark

Hadoop

Tableau

Power BI

Git

Job description

Sandisk is seeking a skilled Data Scientist 3 to join the analytics team in Malaysia. You will design and implement data science solutions addressing complex business problems, building ML models, ETL pipelines, and collaborating with engineering, product, and business stakeholders to translate requirements into analytical solutions.

The ideal candidate will be detail-oriented, analytical, and organized, with 3+ years of data science experience and strong Python/R and SQL skills.