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Below is an internship opportunity from a company within our internship host employer network.

Job Title: Data Scientist Internship

Salary: Unpaid

Location: Remote

Start Time: Flexible

Time Commitment: at least 2 months, minimum 15 hours/week during academic year

About Company: it is an artificial intelligence company founded in 2005 with 20+ employees globally. The company has developed a patented AI-enabled platform and provides evolutionary digital solutions to clients in various industries.

Internship Description: the Intern can choose to work on one of the following programs:

FinTech Banking and Capital Markets: this program focuses on applying innovative AI and machine learning technologies to develop and refine a financial business solution, which analyzes comprehensive sets of server and container data generated for monitoring purpose (e.g., metrics, events, logs). In particular, technologies are leveraged in this program to: analyze collected data to identify trends; detect anomalies for operational support; predict future resources; allocate and add resources to meet operational needed; and visualize and analyze relationships across data elements and datasets.

mHealth Business Solution: this program focuses on exploring IoT and AI technologies to assess and manage the overall health of the lymphatic system with a focus on Lymphedema conditions resulting from cancer treatment. The company’s product family includes a mHealth system that promotes precise lymphedema condition assessment among breast cancer survivors, as well as a real-time Lymphedema exercise tracking tool that used by patients and healthcare providers to monitor patients’ exercising.

ASD/ADHD Disease Management Solutions: this program focuses on exploring IoT and AI innovative technologies to develop an integrated behavior tracking/metering solution that help children with ADHD and/or ASD symptoms perform their day-to-day activities. The solution includes a combination of services aimed at helping children regulate and/or adjust their own behavior and helping parents and mental health specialists monitor its effectiveness.

Intern Responsibilities:

  • Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
  • Mine and analyze data from company databases to drive optimization and improvement of product development.
  • Develop custom data models and algorithms to apply to data sets
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Research and develop statistical learning models for data analysis
  • Presenting information using data visualization techniques

Candidate Qualifications:

  • Bachelor’s in Computer Science, Engineering or relevant field.
  • Knowledge on the principles of machine learning, data mining and AI-driven analytics.
  • Experience with data analytics tools (e.g., Kibana), search engines, and ElasticSearch.
  • Experience with machine learning technologies including Python, SciKit-Learn, Pandas, TensorFlow, and Keras ML Libraries.
  • An understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • A drive to learn and master new technologies and techniques.