Job Description

Responsibilities

• Ability to create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making.
•  Thorough understanding of linear algebra, probability, and statistics to comprehend and use AI models such as Naive Bayes, Gaussian mixture models, and linear discriminant analysis.
•  Knowledge to build a variety of AI applications, including language translation, visual recognition or perception, and targeted advertising based on sentiment analysis.
• Develop scalable algorithms capable of learning, analyzing and predicting future events.
• Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners.
• Ability to skillfully enumerate a business problem, quantify its impact, size relevant data, and document applicable sources.
•  Devise, develop and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques.
• Able to work proactively and take initiative without being specifically directed.
•  Ability to perform in depth data analysis including but not limited to:
• Machine Learning
•  Classification
•  Optimization
• Time Series analysis
•  Pattern Recognition
•  Establish and develop end-to-end automated processes (i.e.: data analyses, model development & implementation, manual processes, etc.)
•  Ability to communicate complex topics in an easy-to-understand manner when presenting to management.
•  Ability to visualize data and intelligence in easy-to-understand story telling.