Data Science - VIE Vietnam

This is a remote position.

Main Terms

• Format: VIE
  

• Language: Fluent in both Vietnamese and English
  

• Duration: Minimum 24 months (6 months renewable 18 months)
  

• Base: Ho Chi Minh
  

• Flexibility: Possibility of remote work part of the time
  
  

Mission

The Data Lead will own the end-to-end data value chain at FieldPro: understanding client needs, producing insights, building predictive models, managing dashboards, and contributing to our product roadmap with innovative data-driven features.

Key Responsibilities

Business & Data Understanding

• Work closely with clients, tech, and our product team to scope analytical and modelling needs.
  

• Translate business requirements into analytical specifications.
  

• Transform raw data streams into clear, business-oriented template dashboards and indicators.
  

• Propose new KPIs, performance indicators, and data-driven product improvements.
  

Machine Learning and Advanced Analytics

• Develop and refine time series forecasting models for sales prediction.
  

• Optimise existing machine learning models to improve accuracy and efficiency.
  

• Conduct feature engineering and model evaluation.
  

• Contribute to new analytical products such as:
  

• geo-analysis, 
  

• route optimisation, 
  

• Recommendations
  

• anomaly detection,
  

• etc.
  

Data Engineering and Automation

• Build automated pipelines for real-time and scheduled model updates.
  

• Work with the Data Engineering team to ensure robust deployment.
  

• Maintain monitoring dashboards and run A/B tests for model improvements.
  

Requirements

Required Skills and Experience

Technical

• Excellent SQL skills (BigQuery/PostgreSQL).
  

• Strong proficiency in Python (Pandas, Scikit-Learn; PyTorch/TensorFlow a plus).
  

• Experience with dashboarding tools (Superset, Power BI, etc.).
  

• Experience in time series forecasting.
  

• Solid understanding of the ML model lifecycle.
  

• Familiarity with GCP or similar cloud environments.
  

Business and Product

• Ability to translate business questions into analytical solutions.
  

• Strong communication skills and client-facing experience.
  

• Autonomous, structured, and results-driven.
  

• Experience in FMCG, retail, agriculture, geospatial analytics, or field operations is a plus
  

VIE Requirements (mandatory):

• You need to be European
  

• You need to be under 30 y.o
  

• You should not have done a previous VIE
  

Benefits

What We Offer

• The opportunity to build and lead the Data function of a fast-growing SaaS company.
  

• High autonomy and direct impact on product direction.
  

• Exposure to diverse industries across Africa, Asia, and LATAM.
  

• A collaborative and entrepreneurial environment.