Data Scientist

ORIGIN WIRELESS, INC. • Rockville, MD

3d • $90,000 - $115,000

About The Position

The Data Scientist will apply advanced machine learning and statistical techniques to large-scale WiFi sensing data to drive innovation in AI Sensing technology. The role involves developing and validating predictive models, designing experiments, and translating complex data into actionable insights to improve accuracy, performance, and real-world impact. The Data Scientist will work with cross-functional teams to bring research into production-ready solutions.

The company develops AI, machine learning, and intelligent sensing technologies for safety, security, and awareness applications. It emphasizes innovation, collaboration, and practical solutions to real-world challenges.

Requirements

• MS or Ph.D. in Electrical Engineering, Computer Science, Applied Physics, or a related field; alternatively, a Master’s degree with significant research experience.
• 3–5 years of experience in advanced research focused on RF signal processing, wireless sensing, machine learning, or related domains.
• Expertise in algorithm design and evaluation for wireless sensing, human activity detection, localization, or environment modeling.
• Strong proficiency with Python, MATLAB, TensorFlow or PyTorch, and statistical modeling tools.
• Deep understanding of IEEE 802.11, OFDM, MIMO, and modern WiFi technologies.
• Ability to design and conduct large-scale experiments, analyze complex datasets, and derive actionable insights.
• Experience collaborating with cross-functional teams to transition research into production-level products.
• Excellent written and verbal communication skills, including the ability to convey complex technical concepts to diverse audiences.
• Team-first mindset and passion for mentorship, leadership, and fostering innovation.

Nice To Haves

• Demonstrated success in publishing peer-reviewed papers, filing patents, or presenting at top-tier conferences.

Responsibilities

• Analyze large-scale datasets generated by WiFi Sensing systems using advanced statistical and machine learning techniques.
• Develop predictive models and algorithms to extract actionable insights and improve sensing technology performance.
• Collaborate with engineers, researchers, and product managers to identify research areas and develop solutions that enhance WiFi Sensing capabilities and accuracy.
• Keep informed about advancements in machine learning, signal processing, and sensor technologies.
• Design and conduct experiments to evaluate the performance and robustness of algorithms and methodologies.
• Validate findings through testing and analysis, ensuring accuracy, reliability, and scalability in real-world applications.
• Communicate research findings, insights, and technical concepts to technical and nontechnical stakeholders through visualizations, presentations, and reports.
• Work with teams to integrate data-driven solutions into products and applications.
• Explore techniques, tools, and methodologies to improve data analysis workflows and WiFi Sensing capabilities.
• Participate in knowledge sharing and contribute to a culture of innovation and excellence.

Benefits

• Full healthcare package including medical, dental, and vision insurance, short-term and long-term disability insurance, life insurance, and AD&D insurance.
• 401(k) with a 5% company match.
• Flexible paid time off policy.
• Onsite gym.
• Tuition reimbursement program and Continued Learning Program.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level