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AhaMove

7/28 Thanh Thai, TP Hồ Chí Minh

Company Size : 100-499

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Job Summary

  • 100-499
  • Product
  • Việt Nam

Lead Data Science & Analytics

AhaMove

  • Quận 10, TP Hồ Chí Minh
  • Negotiable
  •  Full Time
  •  English
  •  Team Leader/Supervisor
1
1

  •  Posted:17/08/2026

  • Apply now
Lead Data Science & Analytics
Apply now
Technical Skill: Python , MS SQL , Data Modeling , Machine Learning , AI (Artificial Intelligence) , Architecture , Pandas , Ecommerce , Kubernetes , Fintech , scikit-learn , Apache Airflow , MLflow , Kubeflow

Job description

Overview of job

About the role

Ahamove is an on-demand logistics platform handling large daily volumes of orders, drivers and delivery points nationwide. Our Data function is split into two groups: Data Platform owns the infrastructure — warehouse, lake, pipelines, analytics engineering — while Data Science & Analytics, the group you will lead, applies that data through models and AI to improve how the platform performs.

You will build the team on an existing foundation, set how it works, and own the data group's project portfolio end to end.

What you will do

  • Set the direction for our modeling work — currently dynamic pricing and dispatching, with demand forecasting, matching and operational optimisation as likely next steps.
  • Identify where machine learning and AI can measurably improve platform performance: pricing efficiency, dispatch quality, driver and customer experience, operational cost.
  • Own delivery of the data group's projects: scope, prioritise, and drive them through to production alongside product and engineering.
  • Make sure models reach production, are measured against real business impact, and stay operationally healthy — research that never ships does not count.
  • Build an experimentation culture: design and evaluate A/B tests for pricing, product and algorithm changes.
  • Keep the analytics the business relies on accurate and trusted, and use those insights to surface the next opportunity worth modeling.
  • Lead, coach and grow the team; own hiring as it expands.
  • Partner with Data Platform on data and feature requirements, and with Backend and Product Owners to ship model outputs into the product.
  • Physical Wellbeing Benefit: General Insurance, Medical check-up, Accident Insurance, Healthcare Insurance.
  • Emotional Wellbeing Benefit: Company Trip, Year End Party, Aha Hour Activities, Special Day Gifts, Aha Club (Badminton, Soccer).
  • Financial Wellbeing Benefit: Grab/Be For Work (Tech/Lead Level), Workplace Relocation, 13th Month Salary, PP Appreciate, Annual Leave Remain.

Job Requirement

  • 6+ years in data (data science, analytics, or a mix), including 2+ years managing a team.
  • A track record of machine learning work that reached production and moved a business metric.
  • Background in a data-heavy digital product; marketplace, logistics, fintech, e-commerce or ride-hailing preferred.
  • Python for modeling and analysis (pandas, scikit-learn or equivalent), and strong SQL on a modern warehouse.
  • Solid statistical foundations: experiment design, hypothesis testing, careful interpretation of results.
  • Practical understanding of the full model lifecycle, from research through deployment, monitoring and retraining.
  • Awareness of the current AI and ML landscape, and judgement about where it genuinely applies to a logistics business.
  • Enough familiarity with warehouse architecture and analytical data modeling to work effectively with data and analytics engineers.
  • Communicates complex findings simply and persuasively to non-technical audiences.
  • Prioritises problems by business value, not technical interest.
  • Comfortable operating with ambiguity in a fast-moving environment.

Nice to have

  • Pricing, matching, dispatching or operational optimisation problems.
  • Geospatial data, mapping or routing.
  • Experimentation platforms, feature stores, or real-time inference.
  • Basic Kubernetes knowledge and familiarity with ML workflow tooling (MLflow, Airflow, Kubeflow or similar).

Languages

    • English

    • Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate

Technical Skill

  • Python
  • MS SQL
  • Data Modeling
  • Machine Learning
  • AI (Artificial Intelligence)
  • Architecture
  • Pandas
  • Ecommerce
  • Kubernetes
  • Fintech
  • scikit-learn
  • Apache Airflow
  • MLflow
  • Kubeflow

COMPETENCES

  • Careful
  • Research
  • Analytic Skills

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BUSINESS PROFILE

AhaMove is a great application for delivery in Vietnam.

AhaMove is an app that allows shippers to hire hundreds of shippers right away and help shippers earn extra income with attractive fees and bonus policies. AhaMove is currently leading in the field of urban delivery in Ho Chi Minh City and Hanoi.

AhaMove is a member company of Scommerce - a leading transportation group in Vietnam, with the ability to deliver goods between 63 provinces and cities and a network covering 11,000 communes and wards across the country.

Scommerce's goal is to become the leading O2O (Online to Offline) transport platform in Vietnam, helping buyers and sellers to deliver goods quickly and easily by optimizing technology solutions, transport networks and sources. social force.

With a team of more than 40,000 drivers (15,000 regular drivers), AhaMove is proud to meet the needs of nearly 50,000 customers, including major partners such as The Coffee House, Juno, Tuticare, Heineken, Sendo. , Lazada, Mia, Roasted Chicken OO, Petmart, Le Castella Vietnam, ...

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  • Quận 10, TP Hồ Chí Minh
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Posted: 08/08/2026
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  • Quận 10, TP Hồ Chí Minh
  • Negotiable
  •  Full Time
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Posted: 07/07/2026
Skills: Python, AI (Artificial Intelligence), Machine Learning, PostgreSQL, API, MS SQL, Docker, Apache Spark, Redis, Golang, Apache Kafka, Data Analysis, Kubernetes, Apache Airflow, A/B Testing, Cloud Infrastructure, MLOps, CI/CD, Google BigQuery

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