Data Scientist

Origin is redefining home security with Tru Shield℠ Security, a hardware-free, router-based solution powered by our exclusive AI Sensing℠ technology. Tru Shield goes beyond motion detection to deliver Verified Human Presence℠, accurately distinguishing between people and non-human activity. By leveraging existing WiFi networks and connected devices, it delivers awareness across the home without cameras, wearables, or additional hardware, eliminating false alarms and elevating protection.

Now part of ADT, Origin strengthens ADT’s promise of trusted protection by adding real-time awareness and context inside the home. When every second counts, knowing what is actually happening, not just that something happened, changes everything.

As a Data Scientist at Origin you will apply advanced machine learning and statistical techniques to large-scale WiFi sensing data, driving innovations that power our AI Sensing technology. You will develop and validate predictive models, design experiments, and translate complex data into actionable insights that improve accuracy, performance, and real-world impact. Working closely with cross-functional teams, you will help shape the future of intelligent sensing by bringing cutting-edge research into production-ready solutions.

• Utilize advanced statistical and machine learning techniques to analyze large scale datasets generated by WiFi Sensing systems.
• Develop predictive models and algorithms to extract actionable insights and improve the performance of our sensing technology.
• Collaborate with cross functional teams of engineers, researchers, and product managers to identify research areas and develop novel solutions to enhance the capabilities and accuracy of WiFi Sensing.
• Remain informed of the latest advancements in machine learning, signal processing, and sensor technologies to drive continuous innovation.
• Design and conduct experiments to evaluate the performance and robustness of new algorithms and methodologies.
• Validate findings through rigorous testing and analysis, ensuring high levels of accuracy, reliability, and scalability in real world applications.
• Communicate research findings, insights, and technical concepts effectively to both technical and nontechnical stakeholders through clear visualizations, presentations, and reports.
• Collaborate with teams to integrate data driven solutions into products and applications.
• Stay curious and proactive in exploring new techniques, tools, and methodologies to improve data analysis workflows and enhance the capabilities of WiFi Sensing technology.
• Actively participate in knowledge sharing and contribute to a culture of innovation and excellence within the organization.

• MS or Ph.D. in Electrical Engineering, Computer Science, Applied Physics, or a related field (or a Master’s with significant research experience).
• 3-5 years of experience in advanced research, focusing 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, Tensor Flow/Py Torch , and statistical modeling tools.
• Deep understanding of IEEE 802.11
  , OFDM
  , MIMO
  , and modern WiFi technologies.
• Proven ability to design and conduct large-scale experiments, analyze complex datasets, and derive actionable insights.
• Demonstrated success in publishing peer-reviewed papers, filing patents, or presenting at top-tier conferences.
• Experience collaborating with cross-functional teams to transition research into production-level products.
• Excellent written and verbal communication skills, with the ability to convey complex technical concepts to diverse audiences.
• A team-first mindset with a passion for mentorship, leadership, and fostering innovation.

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

Origin…