Data Science - VIE Vietnam

Posted 16 Hours Ago
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Hiring Remotely in FRA
Remote
Mid level
Software
The Role
Lead end-to-end data efforts: translate business needs into analytics, build forecasting and ML models, create dashboards, automate pipelines, monitor models, and drive data-driven product features.
Summary Generated by Built In

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.



RequirementsRequired 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




BenefitsWhat 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.



Skills Required

  • Fluent in Vietnamese and English
  • European nationality (VIE)
  • Under 30 years old (VIE)
  • No prior VIE participation
  • Excellent SQL skills (BigQuery, PostgreSQL)
  • Proficiency in Python (Pandas, Scikit-Learn)
  • Experience with PyTorch or TensorFlow
  • Experience with dashboarding tools (Superset, Power BI)
  • Experience in time series forecasting
  • Solid understanding of the ML model lifecycle
  • Familiarity with GCP or similar cloud environments
  • Client-facing experience and strong communication skills
  • Experience building automated model pipelines and deployments
  • Experience in FMCG, retail, agriculture, geospatial analytics, or field operations
  • Autonomous, structured, and results-driven work style
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The Company
50 Employees
Year Founded: 2015

What We Do

Optimetriks is a bootstrap, profitable SaaS company with more than 10 years of operational excellence. It operates across consumer goods, agriculture, financial services, and telecom, with a multicultural team spanning Africa, Europe, Asia, and Latin America. Its international business footprint combines a software-based model with diverse sector experience and regional coverage, supporting organizations across multiple markets and operating environments worldwide.

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