Data Scientist

Data Scientist The Data Scientist must be able to work with large and complex data sets to evaluate, recommend, and support the implementation of business strategies. The ideal candidate has experience in solving analytical problems using quantitative approaches with a passion for data & statistics.

Responsibilities:

Mine and analyze large sets of data

Identify gaps and opportunities for improvement

Leverage this data to develop strategic roadmaps

Define and deploy metrics for measuring process improvement

Institute feedback models to enable continuous process improvement

Conduct research and publish artifacts to drive simplification

Review / Author operational procedures

Distill information provided by subject matter experts and other partners into executive-level narratives

Establish foundational and execution work streams for process improvement and automation initiatives

Partner with Domain and Technical architecture teams to drive efficiency

To be effective in this role, the candidate should possess the following:

5-8 years of Data Analysis, or relevant experience with at least 2 years as a Data Scientist.

Knowledge and experience of a variety of exploratory data analysis, predictive modelling, anomaly detection and their real-world advantages/drawbacks.

Experience using statistical computer languages like Python, R, etc.

Working to deep knowledge of financial products and automation solutions

Machine learning experience is a plus

Experience in predictive model a/b testing and training models

Experience in complex data extraction techniques and data cleansing methodologies

Ability to deconstruct descriptive data into meaningful categories for predictive modeling and visual analysis.

Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques

Identifies and compiles data sets using a variety of tools (e.g.