Hello Heart

1 month ago

Senior Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Own the ML models behind user engagement, cardiovascular risk stratification, and personalized health recommendations; take models from research to production, write production-grade Python, and collaborate with product managers, data engineers, and software engineers to deploy data-driven healthcare solutions.

Location: Tel Aviv

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead end-to-end development of predictive ML models across engagement and clinical risk domains, from data exploration and feature engineering through training, validation, deployment, and monitoring.
•Apply strong statistical foundations to model design, uncertainty quantification, and interpretation of results for healthcare applications.
•Write production-grade Python code that is clean, tested, and maintainable at scale.
•Collaborate with product managers, data engineers, and software engineers to translate strategic questions into data-driven solutions.
•Research and implement cutting-edge ML techniques including supervised/unsupervised learning, causal inference, deep learning, and reinforcement learning to tackle healthcare challenges.

Key Requirements

•5+ years of hands-on experience developing, deploying, and maintaining ML models in production environments.
•Bachelor's degree in Statistics, Computer Science, Applied Mathematics, Engineering, or a related quantitative field.
•Strong software engineering skills in Python: production-grade practices, version control, testing, and reproducibility.
•Expertise with ML frameworks such as PyTorch, scikit-learn, XGBoost, or LightGBM.
•Experience building or working within ML pipelines end-to-end, including feature engineering, model registries, and deployment tooling.

Experience:5+ yearsHealthcareAIMachine learningData scienceCardiology

Education:Bachelor's

Skills:CollaborationCommunicationProblem-solvingTeam-work

Languages:English

Tech Stack:PythonPyTorchScikit-learnXGBoostLightGBMAWSDockerKubernetes

Company Brief

Hello Heart

Provides a digital cardiovascular health platform that helps users manage blood pressure, heart health, and related risks via mobile apps, connected devices, personalized insights, and employer or health plan-based programs to improve outcomes and engagement.

Industry: HealthTech

Website

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Hello Heart

1 month ago

Senior Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Tel Aviv

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead end-to-end development of predictive ML models across engagement and clinical risk domains, from data exploration and feature engineering through training, validation, deployment, and monitoring.
•Apply strong statistical foundations to model design, uncertainty quantification, and interpretation of results for healthcare applications.
•Write production-grade Python code that is clean, tested, and maintainable at scale.
•Collaborate with product managers, data engineers, and software engineers to translate strategic questions into data-driven solutions.
•Research and implement cutting-edge ML techniques including supervised/unsupervised learning, causal inference, deep learning, and reinforcement learning to tackle healthcare challenges.

Key Requirements

•5+ years of hands-on experience developing, deploying, and maintaining ML models in production environments.
•Bachelor's degree in Statistics, Computer Science, Applied Mathematics, Engineering, or a related quantitative field.
•Strong software engineering skills in Python: production-grade practices, version control, testing, and reproducibility.
•Expertise with ML frameworks such as PyTorch, scikit-learn, XGBoost, or LightGBM.
•Experience building or working within ML pipelines end-to-end, including feature engineering, model registries, and deployment tooling.

Experience:5+ yearsHealthcareAIMachine learningData scienceCardiology

Education:Bachelor's

Skills:CollaborationCommunicationProblem-solvingTeam-work

Languages:English

Tech Stack:PythonPyTorchScikit-learnXGBoostLightGBMAWSDockerKubernetes

Company Brief

Hello Heart

Industry: HealthTech

Website