Axonect
Senior Engineer - Data Science
Data-focused engineer at Axonect in Kuala Lumpur who extracts, cleans, and consolidates data, builds dashboards and automated pipelines, and helps develop and deploy predictive ML/AI models. Core stack is Python and SQL with data visualization and BI tools.
- Compensation
- Not disclosed
- Location
- Kuala Lumpur, Malaysia
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data science
- Posted
Skills
Must have
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
- 3-5 years of experience in Data Science, Analytics, Machine Learning, or a related data-focused role
- Strong proficiency in Python, SQL, data analysis, and data visualization tools
- Experience with data preparation, exploratory data analysis, dashboarding, and business intelligence reporting
- Knowledge of machine learning concepts, predictive modeling, and AI solution development
- Familiarity with data pipelines, data quality practices, and translating data insights into actionable business recommendations
Full description
Key Responsibilities
- Data Collection & Preparation – Extract, clean, validate, and consolidate data from multiple sources
- Data Analysis & Visualization – Perform exploratory analysis, identify trends, and develop dashboards and reports
- Data Pipeline Development – Support automated data processing, transformation, and integration workflows
- AI & Machine Learning Support – Assist in developing, testing, and deploying predictive models and AI solutions
- Data Quality & Governance – Maintain data accuracy, consistency, documentation, and compliance with data policies
- Business Intelligence & Insights – Translate data findings into actionable insights to support business and operational decisions
- Continuous Improvement – Optimize data workflows, analytical tools, and reporting processes under senior engineers' guidance
Person Specifications
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
- 3-5 years of experience in Data Science, Analytics, Machine Learning, or a related data-focused role
- Strong proficiency in Python, SQL, data analysis, and data visualization tools
- Experience with data preparation, exploratory data analysis, dashboarding, and business intelligence reporting
- Knowledge of machine learning concepts, predictive modeling, and AI solution development
- Familiarity with data pipelines, data quality practices, and translating data insights into actionable business recommendations
Vendor submissions - 12 months