Senior Data Scientist
AngiFull Time
Senior (5 to 8 years)
Candidates should possess a Bachelor's degree in data science, statistics, epidemiology, engineering, information science, computer science, or equivalent technical experience. A strong track record of applying AI or ML models to solve real-world problems, ideally in healthcare, is required, along with 7+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling. Proficiency in Python coding for machine learning, data science, engineering, and ETL pipelines is essential, as is knowledge of various traditional machine learning techniques and implementation strategies.
The Principal Data Scientist will analyze data from multiple sources to optimize quality outcomes, resource utilization, and risk adjustment. This role involves developing and enhancing predictive models and algorithms to improve patient outcomes and business metrics. Responsibilities include exploring emerging AI technologies for healthcare applications, creating analytic datasets, using statistical software and third-party tools for queries and visualizations, and coordinating with cross-functional teams to implement and monitor models.
Soft exoskeleton gloves for grip assistance
Tendo develops a soft exoskeleton in the form of a robotic glove that helps users grip and release objects more easily. This glove is designed for individuals who may need extra strength and dexterity, such as those with physical disabilities or older adults. It operates using intelligent sensors that provide artificial strength, allowing users to perform daily tasks with greater independence. Unlike other assistive devices, Tendo's glove focuses on enhancing the functionality of one or two fingers, making it lightweight and easy to wear. The company stands out by directly selling to consumers and partnering with healthcare providers, aiming to improve the quality of life for its users. Tendo's goal is to empower individuals by providing practical solutions that enhance their daily living.