About this role
The Senior Data Scientist, Product Analytics position at Hello Heart in Tel Aviv, Israel is a full-time role that suits a quantitative professional with experience in analytics, product experimentation, and machine learning performance evaluation. This role involves shaping digital health offerings by turning complex behavioral and health data into actionable product strategies.
Role Overview
Hello Heart is hiring a Senior Data Scientist to join the machine learning team in Tel Aviv. The professional in this role will guide digital health product development, evaluate production machine learning models, and partner with cross-functional teams across engineering, clinical care, and product.
Key Responsibilities
Requirements
Skills and Tools
About the Company
Hello Heart is an artificial intelligence company exclusively dedicated to heart health, building platforms that predict and prevent cardiac events. The organization serves as a cardiac prevention partner for more than 80% of large United States health plans as well as hundreds of public and private employers.
How to Apply
Interested candidates should visit the official Hello Heart careers page to submit an application for this role.
Skills and tech stack
Questions candidates ask
Where is the Senior Data Scientist, Product Analytics role located?
The position is based in Tel Aviv, Israel.
What educational background is required for this position?
A Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or another quantitative field is required.
How many years of experience are needed to qualify?
Candidates must have 4 or more years of hands-on experience in analytics or data science.
What programming languages and tools must candidates know?
Applicants need strong knowledge of SQL and proficiency in Python, including libraries such as Pandas, NumPy, and SciPy, along with data visualization capabilities.
Who will the data scientist collaborate with in this role?
The role involves partnering with cross-functional teams across Product, Engineering, Data Science, Data Engineering, Clinical, Marketing, and Customer Success.