Senior Data Scientist (Chuyên viên Cấp cao Khoa Học Dữ Liệu)
Prudential Vietnam Assurance
Mô tả công việc
Job Description Accountability (1) Deliver business value through data science models, leveraging modern technologies in AI/ML. (2) Contribute in build & develop capability of data science team (3) Contribute & driven in enhance data-driven decision making mindset (4) Explore & Enrich Feature Store ----------------------------------------------------------------------------------------- Key Responsibilities (1) Build, Deliver & Monitor Data Science models: - Develop and deploy data science models to solve real-world business problems. - Communicate insights to stakeholders in a clear and concise way (2) Explore and Enrich Feature Store: - Explore and develop new features to enhance the feature store. - Maintain and improve the quality and relevance of features in the store. - Work closely with data warehouse engineers and other stakeholders to ensure seamless integration of new features. (3) Collaborate: - Communicate with business team to ensure the stability and feasibility of data science projects. - Work with business team to identify business value contribution of data science models. - Advise and perform validation on A/B test setup to identify business models performance. (4) Continuous Improvement: - Continuously receive feedback from business team, synthesize information & raise suitable action to improve models performance. - Continuous monitor, evaluate, and improve the data science models, to ensure they are up-to-date and effective. (5) Continuous Development: - Involve in team's activity & strengthen team's engagement. - Identify & develop required skillset that best fit for company & personal career path.
Yêu cầu công việc
Demand & Productivity driver - 3 years or experience working in Data Scientist. - Experience in deliver and end-to-end data science projects. - Strong technical understanding of machine learning, statistic, and data mining. - Strong programming skills (e.g., Python, SQL,...) - Technical understanding of A/B test. - Technical understanding of Big Data technology and open source system. - Well communicate skill with internal team and external client stakeholder. Key Stakeholders - Internal Data Platform team - External Business team at PVA - Regional Data Community of Practice Education - Bachelor’s degree in Computer Science, Information Technology Engineer, or equivalent fields. - Master’s degree in Computer Science, Financial analysis business fields (e.g. MBA, Finance, Business Analytics, etc.) would be considered as a strong plus
Quyền lợi
Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background,...