Software engineering: modular code, software lifecycle processes, unit testing, regression testingBig data: distributed computing paradigms (e.g., mapreduce, dataframes, etc), optimizing distributed softwareModeling / quantitative: basic modeling techniques (regression, classification, clustering, etc)Skills:Critical ThinkingData ModelingProcess EffectivenessRisk ModelingTest EngineeringInfluenceOral CommunicationsPrioritizationRelationship BuildingWritten CommunicationsAttention to DetailChange ManagementMinimum Education Requirement: Bachelor's degree in related field or equivalent work experienceShift:1st shift (United States of America)Hours Per Week: 40 Learn more about this role Apply × To proceed with your application, you must be at least 18 years of age. Strong Programming skills (e.g., Python) and solid understanding of Software Development Life cycle principlesCandidates should have at least one of these following skills and preferably have at least two of these skills:-Strong analytical and problem-solving skillsExperience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutionsExperience with large scale data sets with structured or unstructured dataExperience in building user facing applications over large amounts of data using technologies like React, Angular, JavaScript etc.