Venturenix Limited Hiring! Full Time Senior Data Scientist in Hong Kong - Ricebowl

Job Overview

Unlock value from large, complex datasets by building predictive and prescriptive models, designing automated data pipelines, and implementing data-driven solutions to optimize customer interactions and strategic decision-making.

Key Responsibilities

• Collect, clean, process, and explore large-scale datasets to uncover actionable patterns, trends, and business insights using statistical methods and visualization tools.

• Design, build, train, and validate predictive and prescriptive ML models (regression, classification, clustering, NLP, recommendation systems) for complex business challenges.

• Identify, construct, and select relevant features to elevate model performance, accuracy, and business interpretability.

• Collaborate with technical teams to productionize models using Docker, Kubernetes, MLflow, or Cloud infrastructure and establish monitoring pipelines.

• Support engineering teams in developing and maintaining scalable data pipelines and ETL processes.

• Design and execute rigorous tests and experiments (A/B testing) to measure impact and iteratively refine models.

• Assist team leadership with daily and weekly business analytics tasks and operational deliverables.

Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related discipline.

• 5 to 8 years of proven experience in data analytics, statistical modeling, or ML engineering.

• Strong hands-on experience with relational databases (SQL) and advanced data transformation techniques.

• Proficiency in data visualization tools and quantitative or financial modeling techniques.

• Practical experience with ML deployment and orchestration frameworks (Docker, Kubernetes, MLflow, or major Cloud platforms) is a strong advantage.

• Excellent problem-solving and communication skills with the ability to translate complex technical findings into meaningful business insights.