Position Description

• Create and refine predictive algorithms that support the numerous product offerings as well as the overall client satisfaction initiatives for Pareto Intelligence TM
• Participate in all project phases from concept, requirements, development, test, and production support
• Explore and understand new big data and analytic technologies that enable faster and more efficient system operations, ultimately delivering timely insights and models
• Ensure the security, confidentiality, and integrity of client information

ATTRIBUTES

• Positive, flexible, and self-motivated attitude, along with the ability to work as a collaborative team player
• Excellent attention to detail, accuracy and follow up
• Ability to set priorities and work on multiple tasks simultaneously
• Excellent oral and written communication skills

Requirements
Basic Qualifications

• Master's Degree in Statistics or relevant field of study
• Experience working in a JupyterHub environment

• Experience with Python and relevant analytics libraries, including Pandas, Sci-Kit Learn, Matplotlib, etc.
• Experience with Classification and Regression Machine Learning methods
• Well versed in the application of analytic techniques and predictive modeling
• Practical ability to utilize, visualize, and effectively communicate details about the analytic process and the resulting insights

Preferred Skills

• Healthcare industry experience
• Experience with SAS
• Experience/exposure to big data technologies such as Hadoop, Spark, Docker, and Airflow

Professional Skill Requirements

• Complex Problem Solving - Ability to identify and solve problems by reviewing related information, evaluating options and implementing solutions

• Critical Thinking - Ability to use logic and reason to identify strengths and weaknesses of alternative solutions, conclusions, or approaches to problems
• Deductive Reasoning - Ability to apply general rules to specific problems to produce answers that make sense
• Inductive Reasoning - Ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated information or events)
• Quantitative and Analytical Skills - Ability to apply quantitative and statistical analysis techniques to unstructured problems

• Strong Communication Skills - Ability to clearly and concisely communicate information and ideas orally and in writing