Team Lead, Data Science 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.

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
• 6-8 years working experience as a data scientist or business data analyst, preferably in the financial services industry.