Data Scientist
Grab · Technology
- Location: Petaling Jaya (Malaysia)
- Work arrangement: remote in country
- Employment type: Full Time
- Seniority: middle
- Posted:
Job description
Position:
Data Scientist (Analytics)
Company:
Grab
Location:
Malaysia, Petaling Jaya
Employment type:
Full-time
Work Arrangement:
Onsite
Short Summary:
Join the Fulfilment Tech Family at Grab, where you will enhance platform effectiveness and reliability through data-driven insights and optimizations across various operational aspects. Collaborate with multiple departments to transform data into impactful solutions that improve driver partner experiences and efficiency.
Responsibilities:
- Transform requirements into concise data requirements and identify trends.
- Develop data pipelines and custom data science models.
- Create data-driven hypotheses and collaborate on product experiments.
- Design data specifications for new products and ensure accurate data collection.
- Launch A/B and timeslice experiments, analyze results, and provide recommendations.
- Conduct targeted analysis for specific products and operations to identify new opportunities.
- Enhance internal processes through automation and build existing AI tools for productivity.
Requirement:
- 2+ years in data-related or quantitative fields.
- Proficiency in SQL, Python, R, or other programming languages.
- Experience with large datasets and complex ETL processes.
- Statistical knowledge and hands-on experience with controlled experiments.
- Skills in designing experiments, data visualization, and storytelling.
- Ability to create impactful dashboards using PowerBI or Tableau.
Benefits:
- Term Life Insurance and comprehensive Medical Insurance.
- Flexible benefits package through GrabFlex.
- Parental and Birthday leave, and volunteering leave.
- Confidential Grabber Assistance Programme for personal challenges.
- FlexWork arrangements for better work-life balance.
Data Scientist (Analytics)
Company:
Grab
Location:
Malaysia, Petaling Jaya
Employment type:
Full-time
Work Arrangement:
Onsite
Short Summary:
Join the Fulfilment Tech Family at Grab, where you will enhance platform effectiveness and reliability through data-driven insights and optimizations across various operational aspects. Collaborate with multiple departments to transform data into impactful solutions that improve driver partner experiences and efficiency.
Responsibilities:
- Transform requirements into concise data requirements and identify trends.
- Develop data pipelines and custom data science models.
- Create data-driven hypotheses and collaborate on product experiments.
- Design data specifications for new products and ensure accurate data collection.
- Launch A/B and timeslice experiments, analyze results, and provide recommendations.
- Conduct targeted analysis for specific products and operations to identify new opportunities.
- Enhance internal processes through automation and build existing AI tools for productivity.
Requirement:
- 2+ years in data-related or quantitative fields.
- Proficiency in SQL, Python, R, or other programming languages.
- Experience with large datasets and complex ETL processes.
- Statistical knowledge and hands-on experience with controlled experiments.
- Skills in designing experiments, data visualization, and storytelling.
- Ability to create impactful dashboards using PowerBI or Tableau.
Benefits:
- Term Life Insurance and comprehensive Medical Insurance.
- Flexible benefits package through GrabFlex.
- Parental and Birthday leave, and volunteering leave.
- Confidential Grabber Assistance Programme for personal challenges.
- FlexWork arrangements for better work-life balance.
Skills
- ab_teting
- data_science/data_engineering
- power_bi
- python
- r
- sql
- tableau
Languages
EN
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