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Location
In office (Ho Chi Minh City)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Nov 5, 2026.

Overview
Company
Impact
Profile match
Headquartered in Singapore, Knorex is an advertising technology company specializing in programmatic advertising platforms and marketing automation solutions. The firm's flagship product, Knorex XPO, is a self-service, enterprise-grade cloud platform designed to streamline cross-channel digital campaigns. Leveraging artificial intelligence and machine learning, the technology enables dynamic creative optimization (DCO), location-based targeting, and automated ad buying across display, video, search, and social media ecosystems. Serving B2B marketers, advertising agencies, and global enterprises, the company helps organizations consolidate their digital marketing workflows, automate campaign optimization, and scale omnichannel audience engagement.

About the Role

We are seeking a Senior Data Scientist with strong machine learning expertise, analytical thinking, and business understanding to join our R&D team.

You will take ownership of key machine learning initiatives, particularly conversion prediction (CPA optimization), CTR prediction, and bidding optimization. The role focuses on translating business challenges into practical ML solutions, improving advertising performance, and maintaining existing ML models in production.

Key Responsibilities

  • Develop, maintain, and optimize machine learning models, particularly CTR/CVR prediction.
  • Understand business objectives and translate them into actionable ML solutions that deliver measurable impact.
  • Analyze advertising performance, investigate anomalies, and identify opportunities for improvement.
  • Design experiments and evaluate model effectiveness using both ML metrics and business KPIs.
  • Take ownership of existing ML projects, ensuring their continuous improvement and reliability in production.
  • Collaborate with Data Scientists, Engineers, and business teams to drive ML initiatives.

Requirements

Must Have

  • 4+ years of experience in Data Science or Machine Learning, preferably with production ML experience.
  • Experience solving real-world ML problems in AdTech, FinTech, or similar domains, particularly those involving incomplete, delayed, or biased labels.
  • Strong knowledge of ML algorithms, feature engineering, model evaluation, and optimization.
  • Proficiency in Python and ML frameworks such as Scikit-learn, XGBoost, or LightGBM.
  • Strong business understanding and analytical problem-solving skills, with the ability to connect ML solutions to business outcomes.
  • Ability to independently own ML projects, investigate issues, and drive improvements.
  • Good English communication and collaboration skills.

Nice to Have

  • Experience in RTB, CTR/CVR prediction, CPA optimization.
  • Knowledge of A/B testing, model calibration, and online experimentation.
  • Experience with large-scale data processing and production ML systems.
  • Familiarity with LLMs and AI coding assistants.

What We Value

We value someone who understands not only how to build models, but also why they matter to the business - a proactive problem solver who takes ownership and focuses on real-world impact.

Benefits

  • Competitive remuneration package including quarterly bonus and performance review opportunities.
  • Full participation in mandatory insurance programs in accordance with Vietnamese Labor Law.
  • Healthcare insurance package and annual health check-up.
  • Comprehensive benefits scheme such as W3F (Work, Wellbeing, Welfare) Fund for courses, materials, personal health and wellbeing.
  • Work from home benefits.
  • You will have the advance to influence and drive the changes, at Knorex we welcome good ideas and accept any possibility to make our company great.
  • We offer great learning opportunities; you will have exposure to cutting edge performance marketing and advertising technology.
  • Opportunity to work cross-country and with a variety of projects of a different nature.
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