Data Scientist – VIE Vietnam

Job not on LinkedIn

🕒 June 8

🗣️🇻🇳 Vietnamese Required

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Logo of FieldPro (By Optimetriks)

FieldPro (By Optimetriks)

11 - 50 employees

Founded 2015

☁️ SaaS

🤝 B2B

🤖 Artificial Intelligence

💰 $330k Debt financing on 2019-08

SaaS • B2B • Artificial Intelligence

FieldPro (By Optimetriks) is an AI-powered, mobile-first field execution and distribution management platform that digitizes, monitors and optimizes sales and field operations across modern and traditional trade. It offers modular products — FieldPro Sales (SFA & distribution management), FieldPro Detect (computer vision for retail execution), FieldPro Agent Network (agent/field network management), FieldPro Agri sourcing (agricultural procurement & traceability), and FieldPro Direct (retailer ordering) — designed for low-connectivity environments and large-scale enterprise deployments. The platform embeds AI for predictive selling, route optimization, customer segmentation and automated execution scoring, integrates with ERPs such as SAP/Oracle and CRMs like Salesforce, and is used by 200+ enterprise clients across FMCG, agriculture and financial services with 400,000+ retailers structured globally.

📋 Description

• Own the end-to-end data value chain at FieldPro. • Understand client needs and produce insights. • Build predictive models and manage dashboards. • Contribute to product roadmap with innovative data-driven features. • Work closely with clients, tech, and product teams to scope analytical and modeling needs. • Translate business requirements into analytical specifications. • Transform raw data streams into clear business-oriented dashboards and indicators. • Propose new KPIs, performance indicators, and product improvements. • Develop and refine time series forecasting models for sales prediction. • Optimize existing machine learning models. • Conduct feature engineering and model evaluation. • Build automated pipelines for real-time and scheduled model updates. • Maintain monitoring dashboards and run A/B tests for model improvements.

🎯 Requirements

• 1-3 years of experience • 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. • 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. • 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.

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