Senior Data Scientist

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. Learn more about our mission, vision and values.

We are seeking a highly skilled and experienced Senior Data Scientist to develop and integrate advanced Machine Learning (ML) and Deep Neural Network (DNN) technologies into our core product within the Radio Access Network (RAN) domain. This pivotal role will play a key part in driving innovation across our technology stack, bringing data-driven intelligence to our wireless solutions. The ideal candidate should have excellent technical expertise in the ML domain and hands-on experience applying DNNs in real-time systems.

Be a part of the Data Science team, focused on developing ML and DNN solutions for RAN domain. Develop Proof-of-Concepts (PoC) and demonstrate their advantage over standard industry algorithms. Lead the integration of developed algorithms into the company’s core technology. Collaborate closely with algorithms and engineering teams to ensure smooth implementation of ML solutions.

Proven record of AI/ML solution development and integration in real-life systems – must. 3+ years of experience in ML and proficiency in DNN. Strong background as an ML researcher with experience delivering production-level solutions. Experience working with complex systems. Knowledge of cellular networks – big advantage. Experience in real-time systems – advantage. Proficient in data science methodologies. Hands-on experience with state-of-the-art ML and DNN technologies. Experience in communication and/or signal processing – advantage. Experience in code optimization for general-purpose CPUs and their architecture extensions – advantage. Experience with Matlab – advantage. Systematic problem-solving approach, coupled with a sense of ownership and drive. Ability to effectively communicate and collaborate in a fast-paced team environment. Excellent communication skills in both Hebrew and English.

M.Sc. in Electrical Engineering, Computer Science, or Software Engineering. Outstanding B.Sc. graduates in these fields may also be considered.

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