Data Science Intern (Remote)

As a Data Science Intern in our company, you will be responsible for: - Solving Time series 1D (continuous glucose monitoring), RNA sequencing, and Computer vision (mainly medical images) problems. - Using scalable 1D signal processing, machine learning, and deep learning approaches to solve challenging problems. - Developing state-of-the-art machine learning/deep learning algorithms for medical datasets. - Communicating highly technical results and methods concisely and clearly. - Collaborating with researchers in Japan to understand requirements as well as request data. Qualifications required for this role include: - Master/Ph.D. in a relevant field from tier-1 colleges. - 1~2 years of experience with programming languages Python or C++, Pandas. - 1~2 years of experience working with deep learning frameworks, i.e. Pytorch or Tensorflow. - Well acquainted with classical time series problems-algorithms, NLP, Computer vision, etc. - Demonstrated experience with machine learning/deep learning models. - Ability to read and implement research papers from top conferences. - Developing IP (patents) and publishing papers. - Proficiency in Windows, Linux, dockers, PPT, and Git commands is highly required. Preferred skills that would be beneficial for this role are: - Experience working with time-series, text, and sequential datasets in real-world settings. - Proven track record of research or industry experience on Time series problems, NLP, tabular datasets. - Well acquainted with machine learning libraries such as pandas, scikit-learn, etc. - Experience programming in Azure or GCP or other cloud services. - Publications in top-tier conferences will be a plus. This is a remote internship opportunity. If your performance is strong, we will consider converting your role to a full-time position after six months.,