Data Science - VIE Vietnam

Role Summary

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.

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.

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.

Requirements

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

• 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.