Data Scientist Sr

Job Summary

The Data Scientist Sr responsibilities include independently performing data analytics (ranging from data analysis, regression to machine learning) in a variety of environments using structured and unstructured data. 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. Quickly learn complex community banking dynamics, work closely with stakeholders to understand business objectives and design data-driven solutions that create competitive differentiation. 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.

Job Responsibilities

• Independently perform data analytics (ranging from data analysis, regression to machine learning)
• Guide other data scientists properly in a variety of environments using structured and unstructured data
• 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
• Manage ongoing data analytics processes, document calculations, code, and adhere to proper risk and compliance practices
• Troubleshoot issues, suggest alternative approaches or controls to mitigate risks/gaps identified
• Develop and design data-driven solutions in the areas of client insights and segmentation, sales & marketing lead generation, performance analysis and product analytics
• 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
• Uses independent judgement and discretion to make decisions
• Analyzes and resolves problems

Required Qualifications

• Education level required: Undergraduate Degree (4 years or equivalent)
• Minimum experience required: 5+ Years relevant data engineering, data analytics, computer science, business intelligence industry experience
• Experience leveraging tools for ETL and data wrangling
• Experience programming statistical & data science languages (e.g. Excel VBA, SQL, Python, R)
• Experience using modern visualization tool (e.g. PowerBI, Tableau)
• Knowledge of advanced analytics (e.g. Statistical modeling, machine learning, text analytics) and big data environments

Preferred Qualifications

• Education level preferred: Master's Degree (or Postgraduate equivalent) includes a Master of Business Administration (MBA) with a focus on data analytics or a Master of Science (MS) in data science, business analytics, computer engineering, etc.
• Working knowledge of cloud computing tools on any of the major cloud platforms preferred
• Completion or progress towards certifications such as FRM or CFA preferred
• Experience with ETL tools such as Informatica, AWS, Talend, or Snowpark
• Knowledge of data governance, security, and compliance requirements in the banking industry