Desired Experiences
Bachelor degree or equivalent
A Masters degree or equivalent in Data Science, Applied Economics, Statistics, or other similar graduate studies
Familiarity with advanced techniques including machine learning and natural language processing (NLP)
Prior quantitative and finance training, including forecasting/stress testing (DFAST) knowledge.
Ability to direct and evaluate the more technical aspects of data analysis and research, while also managing team in a timely manner to focus on the broader context and key impacts of the analysis
Ability to build and maintain strong business relationships with partners
Strong written and verbal communication skills
Relationship management including managing and engaging stakeholders, partners, customers, and building relationship networks
Strong analytical and problem-solving skills to conduct and manage analysis to address complex business problems
Programming including coding, debugging, and using relevant languages such as Python, R, SQL, or similar
Experience in the process of analyzing data to identify trends or relationships to generate business insights and inform conclusions about the data
Expertise in visualizing data to identify, summarize and explain observed data patterns
Tools
R programming
Tableau
Python
SQL
DBeaver SQL client software
BitBucket

Data Science Architect

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