# Data Scientist

> Fuku · Taipei, Taiwan · Full-time · Posted 2026-11-03

**Workplace:** on_site

## Description

About Us  
  
\- Hytech is a leading management consulting firm headquartered in Australia and Singapore.  
\- The company specializes in digital transformation for fintech and financial services companies.  
\- Hytech provides comprehensive consulting solutions, as well as middle- and back-office support, to empower clients with streamlined operations and cutting-edge strategies.  
\- With a global team of over 2,000 professionals, Hytech has established a strong presence worldwide, with offices in Australia, Singapore, Malaysia, Taiwan, Philippines, Thailand, Morocco, Cyprus, and more.  
  
Job Summary  
  
We are seeking a highly analytical and business-savvy Data Scientist to join our data platform & intelligence team. The ideal candidate will be adept at translating complex datasets into clear, actionable business strategies and building machine learning models that enable predictive, automated decision-making. Responsibilities include detecting business abnormalities, conducting deep-dive root cause analysis, developing predictive and analytical models, and delivering high-level summaries to guide internal leaders and global clients.  
  
Key Responsibilities  
  
\- Conduct deep-dive analysis into customer behavior, business performance, and operational metrics to identify growth opportunities and potential risks.  
\- Design, build, train, and deploy machine learning models (such as forecasting, classification, anomaly detection, customer segmentation, and churn/risk prediction) to drive predictive insights and automate decision-making at scale.  
\- Proactively identify data abnormalities (e.g., performance dips, operational shifts) and perform comprehensive root cause analysis to provide clarity to stakeholders.  
\- Develop and optimize automated data pipelines and dashboards using SQL and Python to ensure high-quality, real-time reporting, and operationalize models into production-ready workflows.  
\- Translate complex technical findings and model outputs into concise executive summaries and natural language insights for non-technical business leaders.  
\- Act as a bridge between data engineering and business units to ensure analytical and modeling solutions are perfectly aligned with real-world business needs.  
  
Qualifications  
  
\- Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Data Science, Machine Learning, or Finance).  
\- Proven ability to query large, complex databases and optimize performance using SQL.  
\- Strong coding skills in Python for data manipulation (Pandas, NumPy) and automated analysis.  
\- Hands-on experience building and deploying machine learning models using frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch, including feature engineering, model evaluation, and tuning. Familiarity with MLOps practices (model deployment, monitoring, and versioning) is a plus.  
\- Minimum of 5 years’ experience in data analysis or data science, specifically in identifying business trends and solving real-world problems.  
\- Exceptional ability to synthesize data and "tell a story," explaining not just the "what" but also the "why" and "so what" in clear business terms.  
\- Strong communication skills, with fluency in English and Mandarin, to effectively collaborate with diverse, cross-functional teams.  
\- Experience in Fintech (Crypto, Trading, Banking) or related financial data environments is highly desirable.

## Apply

[Apply at Fuku](https://apply.workable.com/fuku/j/52084FF6DE/apply)

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