Primary Responsibilities:
- Employ advanced analytical techniques such as Machine Learning, Deep Learning, and Digital Signal Processing on IoT data to extract and interpret meaningful patterns.

- Utilize statistical modeling and machine learning algorithms to derive insights that inform product development strategies.

- Review current research and literature to guide model development and concept validation.

- Develop and maintain comprehensive data pipelines from problem identification to model deployment, ensuring scalability and efficacy.

Requirements:
- A minimum of 2-3 years of experience in Python/Matlab, with a focus on data science and applied statistics.

- Bachelor's or master's degree in Engineering, Statistics, or Applied Mathematics, demonstrating a strong analytical skill set.

- Proficiency in Python data science libraries such as Pandas, Numpy, Matplotlib, Scikit-learn, OpenCV, TensorFlow, Keras, etc.

- Significant experience in time-series data analysis.

- Effective problem-solving skills and the ability to methodically address complex, analytical challenges.

- Clear and concise communication skills, essential for articulating complex data insights to both technical and non-technical audiences.

Good to Haves:
- Previous experience with IoT devices and digital signal processing.
- Experience in processing physiological signals and familiarity with relevant techniques.
- Experience in handling image and audio data processing in Python/Matlab.