A startup in the AI field that develops statistical and mathematical models based on AI technologies to predict the behavior of the electricity market in the U.S. The goal is to analyze how energy is traded in the U.S. using AI tools.

The company is located in Tel Aviv, near a train line, offers a hybrid work model with one work-from-home day, and has 45 employees.

The company is engaged in diverse research areas related to the U.S. energy market and is primarily composed of experienced researchers with advanced degrees. There are 5 research teams in the company, with around 30 researchers in total.

The company's goal is to optimize and increase efficiency in the U.S. electricity market, ensuring no excess electricity production. The role includes working with large-scale distributed pipelines and engaging in Data Science, Machine Learning, Statistics, Information Theory, Probability, Optimization, and Signal Processing.

About the role

• Take end-to-end ownership of research problems from idea to production
• Build mathematical models of physical world phenomena and analyze their impact on business decisions
• Solve complex data science problems by developing novel algorithms
• Use and develop state of the art machine learning models and algorithms
• Work on compute intense projects which involve large scale distributed pipelines
• Work in a dynamic and diverse environment involving multiple disciplines and domains
• Engage directly with data scientists and engineers’ teams to co-develop solutions for a variety of tasks and projects using different tools and techniques

Requirements-

• MSc or a PhD in EE/CS/math/Physics/Stats
• Solid data science research experience of at least 3 years in a data-intensive field (machine learning, NLP, computer vision, signal processing or related)- an advantage
• Deep understanding of at least one of the following domains: machine learning, statistics, information theory, probability, optimization, or signal processing
• Strong knowledge in programming (python, java)
• Track record of excellence

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