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Diploma/Degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science or a related field. Drive innovation and continuous improvement in data science methodologies and practices within the organization.
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A Bachelor’s degree from an accredited university in Public Administration, Data Science, Planning, Political Science, Finance, or a related field is required. 8+ years of experience in data strategy, data governance, data analytics, data operations, or a related field.
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Duties Conduct applied research in one or more of the following areas: economic forecasting, state and local public finance, labor economics, health economics, environmental/energy economics, urban/regional economics, or data science.
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5+ years of experience working in Python and on Python applications (not Jupyter notebooks or similar), including Python dependency management, packaging and publishing tools as well as Python libraries commonly used in data science and predictive analytics.
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6 years of experience in a Data Science role using data analytics, statistics, or mathematics. Provide technical mentorship in delivering project work including implementing data science solutions, improving data pipelines, developing evaluation metrics, or building statistical models that provide insights to the business.
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Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors.
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Bank-provided learnings focused on our seven key risk types (Strategic, Credit, Market, Liquidity, Operational, Compliance and Reputational Risk), as well as topics such as Modeling Principles, Software Development Life Cycle, Data Science and Analytics, latest Regulatory developments and more.
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