Harbor Health · 3 days ago
Data Scientist
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Health CareMedical
Insider Connection @Harbor Health
Responsibilities
Collaborate with the data science team to create and improve foundational models
Collaborate with development teams to integrate machine learning models into production applications
Design and develop analysis techniques to uncover patterns and anomalies in large-scale health data
Integrate data from multiple data sources or functional areas, ensuring data accuracy and integrity, and updating as needed
Assist with complex analysis requests from senior leadership or project teams
Qualification
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Required
Master's degree in applied mathematics, statistics, data science, computer science, or related field with 2+ years of experience OR bachelor’s degree in one of those fields with 3+ years of experience
Proven track record of designing and building statistical and machine learning models to solve complex problems
Proficiency in SQL and Python – including Pandas, NumPy, TensorFlow, PyTorch, and other standard data science libraries
Experience working in a cloud computing environment such as AWS, GCP, or similar
Experience working with healthcare claims and electronic health record data
Ability to engage business leaders to gain deep understanding of the problems to be solved and desired outcomes and collaborate with others to create a solution
Open mind and desire to collaborate with others, consider different ideas, accept feedback, and find common ground on the best path forward
Excellent oral and written communication skills including data visualization and the ability to clearly communicate complex findings to leaders in other departments
Attention to detail and ability to manage schedules and deadlines independently
Company
Harbor Health
Harbor Health is a multi-specialty clinic group that provides smarter health care using technology.
Funding
Current Stage
Early StageTotal Funding
$125.5MKey Investors
General Catalyst8VC
2024-01-11Series A· $95.5M
2022-09-12Series A· $30M
Recent News
2024-05-20
2024-05-05
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