Data Scientist (4-month contract)

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