职位概要
Create of new data sciences capabilities for the business by envisioning and executing strategies that will influence improvement of the business’s performance by enabling informed decision making.
工作职责
- Plays a key role in leading innovation within the business and defines how the business creates additional value by utilizing its data assets and analytics.
- Identify and monitor key business risks and aware of the data needs of the business.
- Manage the junior data science teams and oversees all activities ensuring alignment with division and business-wide vision and strategies.
- Drive education and evangelization of data sciences throughout the business by communicating the vision and use cases of advanced analytics.
- Manage the business’s external data and analytics partners and plays a leading role in the development and design of the division vision, capabilities, infrastructure, and quarterly/annual roadmap for the launch of data sciences capabilities.
- Improve the business’s data analysis model, creating industry-leading performance through the leveraging of new and creative data-sources, and employing the latest in machine learning in the division.
- Support the data warehouse in identifying and revising reporting requirements.
- Perform other tasks assigned by line manager.
工作要求
- Master’s degree or bachelor’s degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field.\
- Minimum at least 5 years of working experience in a data science position
- Be highly proficient and experienced in scripting languages and have rapid prototyping skills, that is, fluency in SQL, Python, Perl, Java, VB, among others.
- Successful experience track record of leading high-performing data analyst teams leading through the successful performance of advanced quantitative analyses and statistical modeling that positively impact business performance.
- Understanding of Hadoop, Hive and/or MapReduce, Machine Learning, Conceptual modelling, Statistical analysis & Predictive modeling, Hypothesis testing
- Experience in working with large structured and unstructured data sets.
- Understanding and operating in an agile development environment while collaborating with key stakeholders from various departments of bank.
