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Data Scientist

Ho Chi Minh City, Vietnam • Full-time
AI Job Summary
  • 2–6 years of applied science or data science experience.
  • Deep expertise in traditional ML, optimization algorithms, and statistical modeling.
  • Strong Python skills and ML frameworks like scikit-learn; TensorFlow/PyTorch is a plus.

Role Type

Permanent • Full-time • Mid-level Senior

Description

We are looking for a passionate Data Scientist to join our dynamic Data & Insights team. You’ll be part of the team building cutting-edge machine learning solutions that transform customers’ experiences with their parcels moving around the globe—optimizing check-out flows, predicting time of arrival, supporting returns and more.

What You’ll Do:

  • Research and develop advanced algorithms for parcel delivery time prediction, product recommendations, customer segmentation, and so on.
  • Build scalable machine learning models to enhance checkout processes and customer experience.
  • Analyze large-scale structured and unstructured logistics data to uncover actionable insights.
  • Collaborate cross-functionally with Engineering, Product, and Business teams to translate complex data challenges into impactful solutions.
  • Stay ahead of the curve with the latest ML trends and bring innovative ideas into production.

What We’re Looking For:

Required Qualifications:

  • Bachelor’s Degree or higher in Computer Science or Computer Engineering, or related fields AND 2-6 years of applied science or data science experience.

Other requirements:

  • Deep expertise in traditional machine learning algorithms, optimization algorithms, and statistical modeling
  • Proven experience building ML models in a real-world product or research environment
  • Strong proficiency in Python, and ML frameworks like scikit-learn. Experience with deep learning frameworks like TensorFlow or PyTorch is a plus.
  • Solid grasp of data processing tools (e.g., Pandas, SQL) and cloud-based environments
  • Familiarity with AWS is a plus.
  • Comfortable translating ambiguous problems into concrete data solutions
  • A keen interest in logistics, e-commerce, or last-mile delivery is a big plus

Why Join Us:

  • Be part of an ambitious team solving complex logistics problems at global scale.
  • Work with high-quality data and real-world impact.
  • Flexible work culture and strong focus on personal growth.
  • A culture that values curiosity, ownership, and collaboration.

Who We Are At Parcel Perform!

Built on the industry’s most comprehensive e-commerce logistics data, Parcel Perform is the leading AI-powered Delivery Experience Platform, centered around AI Decision Intelligence.

The company provides businesses with essential AI tools—including Proactive Data Monitoring, Daily AI Insight Summaries, Targeted Recommendations, Performance Alerts, Out-of-the-box Business Intelligence, and the AI Navigator—to optimize operations, personalize the customer journey, and transform e-commerce logistics into a key driver of customer satisfaction and loyalty.

With its AI-first approach, Parcel Perform enables businesses worldwide to ensure their delivery experience meets the highest standards, master proactive control, and lead by becoming the preferred choice for consumers in an AI-driven world.

Get started at www.parcelperform.com.

Company Overview

Parcel Perform is the next-generation E-Commerce Data & Delivery Experience Platform that pushes beyond traditional post-purchase boundaries. We empower businesses to streamline every stage of the e-commerce journey, from checkout to delivery and beyond, including returns, logistics operations, and data-driven management. Built on the industry’s most comprehensive data foundation, our AI-driven platform eliminates data silos, ensuring the insights and agility e-commerce businesses need to adapt and thrive. We offer end-to-end solutions with a future-proof approach, guiding businesses along a best-practice path for rapid time-to-value and long-term success. Our global reach and extensive carrier network make us the ideal partner to fuel growth for ambitious e-commerce businesses, marketplaces, and top-tier 3PLs worldwide, such as Nespresso, Shopify, Zalando, Puma, Wayfair, Geodis, and Overhaul.