Decision Scientist III

• Act as an individual contributor, independently driving analytics projects and executing against the objectives of assigned business group.
• Using an interdisciplinary approach to produce analytic insights that help the business make informed, data-driven decisions.
• Work independently to drive decision science projects leveraging quantitative analysis techniques, including machine learning, in pursuit of business optimization and impact.
• Foster communication and partnership across multiple levels of the organization including engagement with mid-level managers.
• Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights in support of enhanced decision-making.

• Bachelor's degree or equivalent education and related training or experience and 5+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering
• 2+ years of decision science/analytics project management experience with a diverse project focus and demonstrated results
• Demonstrated ability to engage and support internal business partners, product sets, and projects, connecting insights with execution and business impact
• Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact
• Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques.
• Understanding of various database environments (Snowflake, IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad, Matillion, Sigma), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Power BI, Qlik Sense or Tableau, Micro Strategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word)

Demonstrates expertise in decision science and analytics, leveraging quantitative analysis techniques and data-driven insights to drive business optimization and impact. Proficient in statistical principles and various database environments, with a strong focus on engaging internal partners to connect insights with execution.

• Decision Science Project Management
• Quantitative Analysis Techniques
• Statistical Principles
• Data Visualization Tools
• Database Environments

• Machine Learning
• Statistical Analysis
• Data-Driven Decision Making
• Quantitative Analysis
• Project Management

• Innovative Thinking
• Strategic Thinking
• Communication
• Collaboration
• Leadership

• Banking
• Finance
• Analytics
• Applied Mathematics
• Computer Science

• SAS
• SQL
• R
• Python
• Power BI
• Tableau
• Snowflake
• IBM DB2
• Oracle
• Microsoft Office Suite