Sr Data Scientist Job in Ge Aerospace

Job Description Summary The Sr. Data scientist will work in teams addressing statistical, machine learning & deep learning problems in Shop Cost Productivity development environment. In this role, you will contribute to the development and deployment of Machine Learning, deep-learning, statistical methods, semantic analysis for finding structure in large data sets. Job Description Essential Responsibilities : The Sr. Data Scientist will be a part of data science or cross-disciplinary team on Contractual Services Agreement (CSA) development projects typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers and end users working in concert with partners in GE business units. Develop data science models to address customer needs and opportunities. Work alongside software developers and software engineers to translate algorithms into viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics involving prediction & forecasting. Perform exploratory and targeted data analysis using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics. Generate reports, annotated code, and other projects artifacts to document, archive, and communicate the work and outcomes. Share and discuss findings with team members. Qualifications/Requirements Masters or PhD degree in Statistics, Machine Learning, Computer Science, Engineering, or related field plus a minimum of 3 years of data science algorithm development in the areas of Machine Learning A Degree in Engineering is a must for this role 3+ years of hands-on experience with Python with working experience with Machine Learning Techniques, Classifiers, and Neural Networks Demonstrated skill in the use of one or more analytic software tools or languages (e.g., Python (mandatory), R, etc.) Demonstrated skill at data cleansing, data quality assessment, and using analytics for solving business problems Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets Demonstrated skill at data visualization and storytelling for an audience of stakeholders Strong communication and interpersonal skills Desired Characteristics Experience in working on analytics / software on heavy manufacturing, engineering, or airlines industries. Hands-on experience with Machine Learning projects involving Exploratory Data analysis, model development, assessment, Prediction & Forecasting Deep hands-on experience in Machine Learning, building deep learning models and using advanced state of the art Machine Learning algorithms on industrial datasets using Python Demonstrated skill in good understanding of machine learning techniques and algorithms using data science stack Humble: respectful, receptive, agile, eager to learn Transparent: shares critical information, speaks with candor, contributes constructively Focused: quick learner, strategically prioritizes work, committed Leadership ability: strong communicator, decision-maker, collaborative Problem solver: analytical-minded, challenges existing processes, critical thinker