Data Scientist (4-month contract)

IT
Hà Nội, Hồ Chí Minh
2026-11-30
Negotiation
Experienced
Application ends: 30 Tháng Mười Một, 2026

Job Description

About the role
SmartOSC helps enterprises turn their data into production-ready Data & AI solutions that
accelerate their digital transformation. As a member of the SmartOSC Data Science team, you will
work with some of the largest companies in the region to build the next generation of AI-
powered enterprise applications. You will work directly with data scientists, AI engineers, and
subject matter experts to design and deploy AI capabilities that give our customers the
information they need to make better decisions with a specific focus on solving supply chain
problems such as demand forecasting, inventory optimization, and replenishment.
You will identify the right AI approaches for each problem and implement them so they run
reliably at enterprise scale. Qualified candidates will have deep knowledge of modern AI and ML
techniques including large language models, agentic systems, and classical statistical
methods – along with a clear understanding of their limitations and how to adapt them to large-
scale production environments, and will bring real supply chain domain expertise to the table.
Responsibilities

– Lead the research, design, implementation, and deployment of AI models, agentic

solutions, and optimization algorithms for supply chain applications including demand forecasting, inventory optimization, and replenishment models.

– Partner with SmartOSC customers to build and scale supply chain AI solutions in their

environments.

– Contribute to the design and implementation of new AI/ML capabilities within

SmartOSC’s Data and AI solutions.

– Analyze model performance across deployments, diagnose issues such as forecast

bias, poor recall, or false positive rates, and recommend targeted improvements.

– Collaborate with data engineers and subject matter experts from SmartOSC and

customer teams to source, validate, and correctly leverage new data assets.

 

Requirements

Qualifications

– MS or PhD in Computer Science, Electrical Engineering, Statistics, Operations

Research, or a related field.

– Hands-on experience in data exploration, frameworks and MLOps using Python.

– Supply chain domain experience is mandatory – hands-on modeling experience in

areas such as demand forecasting, inventory optimization, replenishment, and related

planning problems.

– Hands-on AI experience spanning generative AI, agentic systems, supervised and

unsupervised learning, and classical regression and classification.

– Strong mathematical foundation in linear algebra, calculus, probability, and statistics.

– Experience building and deploying models at scale in distributed or cloud-native

environments.

– Sharp, motivated, and focused on making a real impact.

– Excellent verbal and written communication skills.

 

Preferred Qualifications

– Knowledge in JavaScript, Java, or Scala is a plus.

– Either Conceptual or working knowledge in LLM frameworks (e.g., LangChain,

LlamaIndex), vector databases, or RAG architectures.

– Experience with supply chain planning systems (Kinaxis, o9, Blue Yonder, SAP

APO/IBP) or time-series forecasting libraries.

– A portfolio of AI projects (GitHub, publications, or open-source contributions) is a plus.

 

Benefits

At SmartOSC, we offer the best to your values:

– Attractive salary package 

– Salary review twice a year

– Flexible working hours (between 7:30am – 7:30pm on staff’s preference)

– Premium health care 

– Firm’s Certified Qualifications Sponsorship for career development

– Annual company trip inside or outside Vietnam

– Working in one of the largest digital transformation agencies in Asia – Professional English environment

Personal Data Consent Notice
By submitting your resume for this position, you acknowledge and consent that the Company may collect, use, store, disclose (where necessary), and otherwise process your personal data for recruitment-related purposes, including evaluating your application, communicating with you, and making hiring decisions. Your personal data may be shared with relevant third parties involved in the recruitment process on a need-to-know basis. You acknowledge and consent that the Company shall retain your personal data for as long as necessary to fulfil the above purposes or to comply with applicable legal obligations. Where permitted by applicable law, you may submit a written request for the deletion of your personal data.

 

Related Jobs