About The Role

As a Senior Data Scientist at Sensi.AI, you will be part of a multidisciplinary AI team, working on AI-driven solutions in audio and text fields. You will apply machine learning and deep learning techniques, with a strong emphasis on Deep Learning for Time-Series Analysis, to develop scalable AI models that directly impact senior care. You will collaborate closely with R&D teams, leveraging real-world data to build high-performance AI solutions. This is an opportunity to tackle complex, real-world challenges, drive cutting-edge AI research, and develop innovative solutions tailored to the needs of caregivers and healthcare providers—all within a dynamic, fast-paced environment.

Key Responsibilities

• Develop and optimize data pipelines and machine learning models, with a focus on Deep Learning for Time-Series Analysis.
• Take ownership and lead end-to-end delivery, from innovation, experimentation, and research to full development and deployment to production.
• Lead research initiatives to solve complex data science challenges, applying deep learning techniques.
• Continuously monitor and refine model performance, ensuring high accuracy, efficiency, and reliability.
• Work closely with Product, Business, and R&D teams to align AI innovations with company objectives.
• Solve non-trivial, non-classical data science challenges using creative and outside-the-box thinking.
• Work in a fast-paced startup environment, contributing to the development of cutting-edge AI-driven solutions.

Requirements:

About The Role

As a Senior Data Scientist at Sensi.AI, you will be part of a multidisciplinary AI team, working on AI-driven solutions in audio and text fields. You will apply machine learning and deep learning techniques, with a strong emphasis on Deep Learning for Time-Series Analysis, to develop scalable AI models that directly impact senior care. You will collaborate closely with R&D teams, leveraging real-world data to build high-performance AI solutions. This is an opportunity to tackle complex, real-world challenges, drive cutting-edge AI research, and develop innovative solutions tailored to the needs of caregivers and healthcare providers—all within a dynamic, fast-paced environment.

Key Responsibilities

• Develop and optimize data pipelines and machine learning models, with a focus on Deep Learning for Time-Series Analysis.
• Take ownership and lead end-to-end delivery, from innovation, experimentation, and research to full development and deployment to production.
• Lead research initiatives to solve complex data science challenges, applying deep learning techniques.
• Continuously monitor and refine model performance, ensuring high accuracy, efficiency, and reliability.
• Work closely with Product, Business, and R&D teams to align AI innovations with company objectives.
• Solve non-trivial, non-classical data science challenges using creative and outside-the-box thinking.
• Work in a fast-paced startup environment, contributing to the development of cutting-edge AI-driven solutions.