- Hong Kong Hong Kong
全职 Senior Data Scientist 工作, 薪水, Venturenix Limited Hong Kong 公司招聘中 - Ricebowl
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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 .
Full-time
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 .
Full-time
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