Predictive Analyst II (USFPLAX)

Job Summary Under minimal supervision, contributes to the development and implementation of predictive analytics through the application of adva nced statistical and analytical techniques in order to deliver data driven insights supporting business objectives.

Essential Job Functions Under some supervision, uses appropriate modeling techniques to address business needs. Utilizes broad knowledge of advanced modeling techniques and procedures to develop new modeling techniques and skills. Conducts appropriate evaluation of model performance. Designs and publishes reports to communicate results and track model performance. Develops various programs including predictor and response variable programs. Reviews programs to ensure they conform to quality standards. Supports preparation of internal/external, structured/unstructured data sets to build/rebuild/refresh predictive models. Creates ad-hoc data analyses, as needed Communicates analytics to other modelers as well as to non-technical business partners. Contributes to the continuous improvement of the modeling process. Contributes to the continuous improvement of the modeling process.

Physical Actions

Sits or stands for extended periods of time, up to a full work shift. Occasionally reaches overhead and below the knees, including bending, twisting, pulling, and stooping. Occasionally moves, lifts, carries, and places objects and supplies weighing 0-10 pounds without assistance. Listens to, interprets, and differentiates auditory information (e.g. others speaking) at normal speaking levels with or without correction. Visually verifies and reads information. Visually locates material, resources and other objects. Ability to operate a computer for extended periods of time, up to a full work shift. Physical dexterity sufficient to use hands, arms, and shoulders repetitively to operate keyboard and other office equipment up to a full work shift.

Physical Environment

This position operates in an open office working environment which will include normal and customary distractions, noise, and interruptions.

Education Requirements

High school diploma or equivalent required. Bachelor's degree in Mathematics, Statistics or Computer Science preferred. Master’s Degree preferred.

Experience Requirements 2 or more years of experience in related field required.

Special Skill Requirement

Additional Qualification