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Data Scientist - Job Opportunity at EDPS Systems Limited

Wanchai District, Hong Kong
Full-time
Entry-level
Posted: May 28, 2025
On-site
HKD 480,000 - 600,000 per year (USD 61,500 - 76,900). Entry-level data scientists in Hong Kong's competitive market typically command salaries in this range, with the upper end reserved for candidates with strong cloud platform experience and proven model deployment capabilities. The IT consulting context may offer additional performance-based compensation.

Benefits

Competitive salary package commensurate with qualifications and experience, providing flexibility for negotiation based on candidate value proposition
Equal opportunity employment environment fostering diversity and inclusion across all qualified candidates
Professional development opportunities through exposure to cutting-edge data science projects and advanced analytics implementations
Strategic positioning within Hong Kong's thriving IT consulting sector with access to diverse client portfolios
Collaborative work environment with software engineering teams enabling full-stack data science experience from model development to production deployment

Key Responsibilities

Drive strategic business value through development and implementation of advanced machine learning algorithms including deep learning architectures (CNNs, RNNs, transformers), reinforcement learning systems, and sophisticated time series analysis models that directly impact client outcomes
Lead comprehensive data intelligence initiatives by analyzing large-scale datasets to uncover critical business trends, patterns, and anomalies using advanced feature engineering, dimensionality reduction techniques, and anomaly detection methodologies
Execute rigorous scientific validation processes through experimental design and statistical testing, including A/B testing frameworks, hypothesis testing protocols, and comprehensive model evaluation using precision, recall, F1-score, and AUC metrics to ensure model reliability
Establish executive-level communication channels by translating complex analytical findings into actionable business recommendations through compelling visualizations and strategic reports that drive decision-making
Orchestrate enterprise-grade model deployment processes in collaboration with engineering teams, implementing containerization strategies (Docker, Kubernetes), CI/CD pipelines, and production-ready model serving frameworks (TensorFlow Serving, TorchServe)
Maintain competitive technological advantage by continuously researching and integrating cutting-edge advancements in data science and machine learning through academic publications, industry conferences, and open-source project contributions

Requirements

Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field

Experience

Minimum 1 year of experience in data analysis or machine learning

Required Skills

Proven experience in data analysis, machine learning, and statistical modelling Strong programming skills in Python or R Proficiency in data manipulation libraries (Pandas, NumPy) Machine learning libraries (Scikit-learn, TensorFlow, PyTorch) Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch Experience with data visualization tools such as Tableau or Power BI Familiarity with SQL and knowledge of version control systems (Git) Experience with cloud platforms such as AWS and Azure Strong analytical and problem-solving skills Excellent communication and presentation skills

Certifications

Preferred: Experience in AI applications for predictive systems and/or recommendation systems, including natural language processing (NLP) and computer vision
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Sauge AI Market Intelligence

Industry Trends

Hong Kong's data science market is experiencing unprecedented growth driven by the city's position as Asia's financial hub and the increasing digitization of traditional industries. Financial services, logistics, and retail sectors are heavily investing in predictive analytics and AI-driven decision making, creating substantial demand for skilled data scientists who can bridge technical expertise with business acumen. The integration of advanced machine learning techniques, particularly deep learning and reinforcement learning, is becoming standard practice across Hong Kong enterprises as they compete with mainland China and Singapore for technological leadership in the Asia-Pacific region. Companies are prioritizing candidates who can implement production-ready ML systems rather than just prototype models. Cloud-first data science implementations are dominating the Hong Kong market, with AWS and Azure adoption accelerating due to data sovereignty requirements and the need for scalable infrastructure. Organizations are seeking data scientists who understand both the technical and compliance aspects of cloud-based analytics platforms.

Role Significance

Likely working within a 3-5 person data science team embedded in larger client project teams of 8-12 professionals, with regular collaboration across software engineering, business analysis, and client management functions typical of IT consulting environments.
This role represents an entry-to-mid level position with significant growth potential, requiring independent execution of complex technical tasks while building foundational experience in enterprise-scale data science implementations. The emphasis on production deployment and stakeholder communication indicates expectations beyond typical junior roles.

Key Projects

Predictive analytics implementations for financial services clients including risk modeling, fraud detection, and algorithmic trading support systems Customer behavior analysis and recommendation engine development for retail and e-commerce clients seeking competitive advantage in Hong Kong's saturated market Supply chain optimization and demand forecasting projects for logistics companies capitalizing on Hong Kong's role as a regional distribution hub

Success Factors

Mastery of end-to-end model lifecycle management from research and development through production deployment, as Hong Kong clients increasingly demand turnkey solutions rather than proof-of-concept deliverables Strong cross-cultural communication abilities essential for interfacing with diverse client stakeholders across traditional Hong Kong businesses, mainland Chinese enterprises, and international corporations operating in the region Rapid adaptability to emerging technologies and client requirements, as the consulting environment demands quick pivoting between industries and technical approaches based on project demands Business acumen development to translate technical capabilities into measurable client value, particularly important in Hong Kong's results-oriented business culture where ROI demonstration is critical for project success

Market Demand

High demand with competitive market conditions. Hong Kong's strategic focus on becoming a smart city and the region's digital transformation initiatives are driving strong demand for data science talent, particularly those with deployment and production experience.

Important Skills

Critical Skills

Python programming proficiency with pandas and NumPy represents the fundamental technical foundation, as these tools are essential for data manipulation and analysis across virtually all client projects in Hong Kong's data-driven business environment Machine learning library expertise in scikit-learn, TensorFlow, or PyTorch is absolutely essential as clients increasingly expect sophisticated algorithmic solutions that go beyond basic statistical analysis Cloud platform experience with AWS and Azure is becoming non-negotiable in Hong Kong's enterprise market, where data sovereignty, scalability, and integration with existing infrastructure are primary concerns SQL database skills remain critical as most Hong Kong enterprises have substantial legacy data systems that require integration with modern analytics platforms

Beneficial Skills

Natural language processing capabilities offer significant competitive advantage given Hong Kong's multilingual business environment and the growing importance of text analytics in customer service and social media monitoring Computer vision expertise provides opportunities in Hong Kong's retail, logistics, and smart city initiatives where visual data analysis is becoming increasingly valuable Statistical hypothesis testing and experimental design skills differentiate candidates in Hong Kong's evidence-based business culture where ROI demonstration and risk management are paramount Data visualization proficiency with Tableau or Power BI enables effective communication with Hong Kong's diverse stakeholder groups, from technical teams to C-level executives

Unique Aspects

Comprehensive technical stack coverage spanning traditional machine learning through cutting-edge deep learning and reinforcement learning, indicating ambitious project scope and advanced client requirements
Strong emphasis on production deployment capabilities including containerization and CI/CD pipelines, reflecting market demand for operationally mature data science implementations rather than research-focused roles
Integration of both predictive systems and recommendation engines suggests exposure to diverse industry applications from financial modeling to e-commerce optimization
Explicit focus on stakeholder communication and business impact measurement, preparing candidates for senior consulting roles and client-facing responsibilities

Career Growth

18-24 months to senior individual contributor level, 3-4 years to team leadership positions, with accelerated progression possible based on client impact and business development contributions typical in consulting environments.

Potential Next Roles

Senior Data Scientist positions focusing on team leadership and complex algorithm development within 2-3 years Data Science Manager or Lead Data Scientist roles overseeing multiple client engagements and junior team members Principal Data Scientist or Data Science Consultant positions with P&L responsibility and client relationship management Transition opportunities to in-house data science leadership roles at major Hong Kong financial institutions or technology companies

Company Overview

EDPS Systems Limited

EDPS Systems Limited operates as a specialized IT staffing and consulting firm serving Hong Kong's dynamic technology sector, with particular strength in placing skilled technical professionals across financial services, logistics, and emerging technology companies. The company has established itself as a reliable partner for both temporary project staffing and permanent placement services.

Mid-tier IT consulting and staffing firm with solid market presence in Hong Kong's competitive technology services landscape, competing primarily on specialized technical expertise and local market knowledge rather than global scale or brand recognition.
Strong local Hong Kong presence with deep understanding of regional business culture and regulatory requirements, positioning the company well to serve both local enterprises and international companies establishing or expanding their Asia-Pacific operations.
Professional consulting environment emphasizing client service excellence, technical competency development, and collaborative project delivery, with expectations for high-quality work output and professional growth through diverse client exposure.
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