Data Scientist Engineer - HKD 80-100K/m

NexusSearch International Limited; Hong Kong; On-site; HKD 892,800 - 1,116,000; Full time

Job summary

An international recruitment firm in Hong Kong seeks a Data Scientist Engineer to incorporate the latest technologies into its strategy. The role involves developing databases, implementing data analytics models, and driving analytics initiatives. Candidates should have over 6 years of IT experience, strong skills in machine learning, AI, and proficiency in Microsoft Azure Data Analytics. The position offers a competitive salary ranging from HKD 80,000 to HKD 100,000 monthly.

Qualifications

• Bachelor's degree in a relevant field required.
• Proficient in Microsoft Azure Data Analytics, PowerBI, SQL, and Python.
• Over 6 years of IT experience with expertise in solution design.

Responsibilities

• Incorporate cost-effective technologies into the company's strategy.
• Develop databases and analytics models to optimize efficiency.
• Drive end-to-end execution of data analytics initiatives.

Skills

Machine Learning

AI

Data Analytics

SQL

Python

Microsoft Azure Data Analytics

PowerBI

Project Management

Education

Bachelor's degree in Computer Science, Information Systems, Software Engineering or related fields

Tools

Azure Databricks

Azure Data Factory

Azure Functions

Azure Storage

Azure SQL Database

Synapse Analytics

Azure Data Lake

Job description

About the job Data Scientist Engineer - HKD 80-100K/m

Job Duties

• Incorporate the latest and most cost-effective technologies into the company's strategy, including machine learning and AI.
• Develop and implement databases, data collection systems, data analytics models, and strategies that optimize statistical efficiency and quality.
• Drive the end-to-end execution of data analytics initiatives efficiently, ensuring data is complete and qualified, and projects are delivered on time.
• Collaborate effectively with business units, IT teams, and internal members to capture, understand, and translate data for analytics, balancing cost, capability, performance, and time to market.
• Make informed judgments to balance data privacy and the business's need for analytics, accuracy, and performance.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related field.
• Proficient in Microsoft Azure Data Analytics, PowerBI, SQL, and Python.
• Experience in AI and Machine Learning is essential.
• Over 6 years of IT experience, with strong expertise in solution design, project delivery, and system integration.
• Proven track record of leading data analytics teams to successfully complete multidisciplinary projects.
• Strong interviewing and negotiation skills to gather detailed business requirements and use cases from key stakeholders.
• Experience in project coordination and management, particularly in delivering solutions using the Azure Data Analytics platform, including Azure Databricks, Azure Data Factory, Azure Functions, Azure Storage, Azure SQL Database, Synapse Analytics, and Azure Data Lake.