Job description
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.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.