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.

What you'll do:

• 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.
  
  

What you should have:

• 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.
  
  

Education:

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

Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA’s Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom ecosystem.Learn more at www.parallelwireless.com .

Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.Parallel Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.