Degree in Artificial intelligence- AI
Aartificial intelligence, Data Analysis, Data science techniques, Effective communication skills, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Python Programming, R Programming, Statistics
The Sr. Data Scientist will play a crucial role in advancing our Generative AI capabilities and driving innovation across multiple projects. The person will collaborate closely with cross-functional teams to design, implement, and optimize GenAI algorithms that generate high-quality content. The Sr. Data Scientist will be a part of data science or cross-disciplinary team on Services & Shop Cost Productivity 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 Aerospace 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. The Sr. Data Scientist will :
Qualifications/Requirements
Desired Characteristics
About Us
GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
General Electric Company is an American multinational conglomerate incorporated in New York City and headquartered in Boston. As of 2018, the company operates through the following segments: aviation, healthcare, power, renewable energy, digital industry, additive manufacturing and venture capital and finance.
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Auburn, AL, USA
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Cincinnati, OH, USA
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