WSECU is looking for a Data Scientist to synthesize and leverage disparate datasets to enhance products and services, aiming to make members' financial lives easier. The role involves challenging current thinking on how products and services meet member financial needs and utilizing big data analytics and machine learning to improve financial well-being.
Requirements
- Demonstrating accomplishments in the use of statistical analysis environments such as R, MATLAB, SPSS or SAS
- Experience with Programming and/or scripting languages a plus. Python, Java and C/C++ strongly preferred
- Expertise in one the following: econometric modeling; statistical and predictive modeling; machine-learning approaches such as; clustering and classification techniques, recommendation and optimization algorithms
Responsibilities
- Working with end-users and analysts to model complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, data mining and visualization techniques
- Modeling and framing business scenarios that are meaningful and which have direct impact on critical business processes and / or decisions
- Interviewing end-users to determine requirements for data, reports, analysis, metadata, training, service levels, data quality, and performance
- Developing and performing text classification using methods such as logistic regression, decision trees, support vector machines and maximum entropy classifiers
- Helping build WSECU’s capability and strategy (short term and long term) to understand and assess new products, and evaluating the success of existing products and services
- Distilling insights from member data that address key business challenges and providing actionable recommendations
- Developing & communicating data insights & recommendations in a clear & concise manner (i.e., data driven change management)
Other
- Master's Degree in one of the following areas: econometrics, operations research, applied statistics, machine learning, hard science or engineering, or related quantitative discipline
- Demonstrated understanding of the financial and economic levers that impacts WSECU’s business performance
- Strong technical, analytical, and problem solving skills and the ability to effectively utilize techniques to derive insights
- Demonstrated ability to communicate operational and technical issues to a wide variety of audiences at all organizational levels – must have strong data storytelling abilities
- well-developed oral and written communication skills including the writing of executive and board level reports, human relation skills and problem solving skills
