Data Scientist at Kimberly Ryan

Job overview:

• Provides balanced analytical research by turning raw data into valuable insights that help to drive the Bank’s actions and strategies.
• Interprets and analyses data from multiple sources to come up with imaginative solutions to problems.

Key responsibilities:

• Develop programming in R, SAS, SQL or similar analytical development tools
• Maintain knowledge in statistics, mathematics and/or comparable quantitative area of expertise
• Responsible for collaborating with analysts to facilitate the development and application of advanced analytic strategies and tactics
• Ascertain and apply strategies to identified business problems and existing organizational processes to provide leaders with insightful resources for decision-making and to increase sales, profit, market share, and achieve enterprise goals
• Establish parameters of ad hoc analyses by setting appropriate timeline and work quality guidelines
• Assist in the development of the problem definition and hypothesis formulation process as it relates to the specific business environment
• Conduct analyses, formulate insights, and summarize and synthesize findings for presentation to line of business management
• Develop timely, innovative, and objective analysis which leads to fact-based solutions for strategic business issues
• Maintain an understanding of general business trends and requirements for the major area of support, and understand the link between analysis and business impact

Requirements:

• Strong STEM background - Bachelor's degree as well as practical experiences in Machine Learning, NLP, Deep Learning (Tensor flow), Statistical Modelling, Quantitative Analysis, Forecasting, Data Visualization
• 2-6 years working experience as a data scientist or business data analyst, preferably in the financial industry