Data Science - VIE Vietnam
This is a remote position.
Main Terms
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Format: VIE
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Language : Fluent in both Vietnamese and English
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Duration : Minimum 24 months (6 months renewable 18 months)
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Base : Ho Chi Minh
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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
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Work closely with clients, tech, and our product team to scope analytical and modelling needs.
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Translate business requirements into analytical specifications.
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Transform raw data streams into clear, business-oriented template dashboards and indicators.
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Propose new KPIs, performance indicators, and data-driven product improvements.
Machine Learning and Advanced Analytics
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Develop and refine time series forecasting models for sales prediction.
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Optimise existing machine learning models to improve accuracy and efficiency.
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Conduct feature engineering and model evaluation.
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Contribute to new analytical products such as:
- geo-analysis,
- route optimisation,
- Recommendations
- anomaly detection,
- etc.
Data Engineering and Automation
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Build automated pipelines for real-time and scheduled model updates.
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Work with the Data Engineering team to ensure robust deployment.
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Maintain monitoring dashboards and run A/B tests for model improvements.
Requirements
Required Skills and Experience
Technical
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Excellent SQL skills (BigQuery/PostgreSQL).
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Strong proficiency in Python (Pandas, Scikit-Learn; PyTorch/TensorFlow a plus).
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Experience with dashboarding tools (Superset, Power BI, etc.).
- Experience in time series forecasting.
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Solid understanding of the ML model lifecycle.
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Familiarity with GCP or similar cloud environments.
Business and Product
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Ability to translate business questions into analytical solutions.
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Strong communication skills and client-facing experience.
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Autonomous, structured, and results-driven.
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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
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The opportunity to build and lead the Data function of a fast-growing SaaS company.
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High autonomy and direct impact on product direction.
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Exposure to diverse industries across Africa, Asia, and LATAM.
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A collaborative and entrepreneurial environment.
Originally posted on Himalayas