Job Details

Summary

• Particularly skilled in quantitative analysis and data management
• Utilize technologies to collect, clean, analyze, predict, and effectively communicate information
• Able to examine relevant data and quickly develop an analysis plan that will answer key business questions and create value for the client
• Understanding of machine learning algorithms and advanced statistics such as: regression, time-series forecasting, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, optimization, unstructured data analysis, and neural networks
• Works with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address need
• Analyze data, draw insights, and present results in a cohesive, intuitive, and simplistic manner to the client
• Work closely with the business to understand the domain and iteratively refine analyses

Main Responsibilities

• Able to train and develop junior data scientists and provide technical/analytical guidance when needed
• Moves own work forward with limited direction through use of frameworks and structure
• Helps to scope studies – timeline, expected outcomes, resources, etc.
• Proactive thinking and ideation to facilitate ongoing, open dialogue where information and ideas are shared to generate solutions

Education

• Bachelors Degree (± 16 years) in Computer Science, Data Analytics or similar discipline including Mathematics, Statistics, Physics, or Engineering is preferred

Experience

• Minimum 2 years experience    
• Work related experience with degree or sufficient transferable experience to demonstrate functional equivalence to a degree
• Intermediate programming experience (eg. Python, R, Java, Scala, C++ in Linux/Unix and/or equivalent)
• Working experience with database applications
• Experience with and understanding operational or strategic systems and/or building tools