TL;DR
Data Scientist (AI): Building and optimizing complex and innovative ML systems for high-impact projects across various industries with an accent on AI/ML system development, data pipelining, and solving business problems at scale. Focus on translating business problems into analytical solutions, developing and deploying models, and advancing internal data science tooling.
Location: Must be based in Bangkok, Jakarta, or Singapore City, with willingness to travel.
Company
hirify.global, an AI by McKinsey, is a consulting firm that works on complex and pressing challenges using data science and AI.
What you will do
- Partner with clients, from data owners to C-level executives, to understand needs and build impactful analytics solutions.
- Translate business problems into analytical problems and develop models aimed at solving client and user problems.
- Write highly optimized code to advance the internal Data Science Toolbox.
- Participate in R&D projects and present at meetings and conferences.
- Work on frameworks and libraries used by data scientists and data engineers.
- Guide global companies through data science solutions to transform their businesses.
Requirements
- Bachelor's, master's or PhD in computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence.
- 2+ years of professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data.
- Proficiency in SQL and Python’s Data Science stack is a must; good knowledge of at least one big data framework (PySpark, Hive, Hadoop) is a plus.
- Ability to prototype statistical analysis and modeling algorithms.
- Knowledge of prompt engineering & generative AI application building (RAG, Agentic systems); understanding engineering standards, QA/Risk Management.
- Willingness to travel is required.
Culture & Benefits
- Continuous learning and apprenticeship culture backed by structured programs, with clear, actionable feedback.
- A voice that matters, encouraging innovative ideas and contributions from day one.
- Global community with colleagues across 65+ countries and over 100 different nationalities.
- Competitive salary based on location, experience, and skills, plus a comprehensive benefits package.
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