Senior Data Scientist
1 month ago
- (40% of time) Independently perform data analytics (ranging from data analysis, regression to machine learning) also guide other data scientists properly in a variety of environments using structured and unstructured data.
- (10% of time) Present complex concepts in a format digestible by a diverse audience across the organization. Build and improve the development of metrics, reports and analysis into BI dashboards that support a wide array of banking businesses
- (20% of time) Manage ongoing data analytics processes, document calculations, code, and adhere to proper risk and compliance practices. Trouble shoot issues, suggest alternative approaches or controls to mitigate risks/gaps identified.
- (20% of time) Develop and design data-driven solutions in the areas of client insights and segmentation, sales & marketing lead generation, performance analysis and product analytics.
- (10% of time) Partner across the functions, including the line of businesses, IT, Data Office, and/or third-party vendors to co-build the data foundation and analytics delivery infrastructure for the action-driven insights and reporting. Assume end-to-end responsibilities on key initiatives assigned, and leverage partnership to achieve the shared vision.
Additional Accountabilities
- Performs special projects, and additional duties and responsibilities as required.
- Document calculations, code, and foster risk management culture throughout design, development, and deployment practices. Suggest alternative approaches or controls to mitigate risks/gaps identified.
- Consistently adheres to regulatory and compliance policies and standards linked to the job as listed and complete required compliance trainings. Accountable to maintain compliance with applicable federal, state and local laws and regulations.
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