Senior Data Scientist

Hello Heart
Tel Aviv
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Collaboration","Communication","Creativity","Courage","Stakeholder management"]

Own end-to-end development of predictive ML models that power user engagement, cardiovascular risk stratification, and personalized health recommendations. Apply advanced statistics and probability to design, train, validate, deploy, and monitor models in production. Build production-grade Python systems and contribute to MLOps (serving, versioning, evaluation, monitoring), while partnering with product and engineering teams to translate strategic questions into measurable outcomes.

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FursaFursa
Hello Heart
Hello Heart
2 days ago

Senior Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Own end-to-end development of predictive ML models that power user engagement, cardiovascular risk stratification, and personalized health recommendations. Apply advanced statistics and probability to design, train, validate, deploy, and monitor models in production. Build production-grade Python systems and contribute to MLOps (serving, versioning, evaluation, monitoring), while partnering with product and engineering teams to translate strategic questions into measurable outcomes.
Location: Tel Aviv
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead end-to-end development of predictive ML models across data exploration, feature engineering, training, validation, deployment, and ongoing monitoring.
  • •Apply statistical foundations to model design, feature selection, uncertainty quantification, and interpretation.
  • •Write production-grade Python code that is clean, tested, and maintainable for scale.
  • •Use AI coding assistants to accelerate development, code review, and documentation.
  • •Contribute to MLOps infrastructure (model serving, versioning, evaluation pipelines, monitoring) and design A/B tests to measure impact.

Key Requirements

  • •5+ years developing, deploying, and maintaining ML models in production environments.
  • •Bachelor’s degree in Statistics, Computer Science, Applied Mathematics, Engineering, or a related quantitative field.
  • •Deep expertise in statistics and probability, including Bayesian methods, causal inference, and experimental design.
  • •Strong Python software engineering skills, including testing, version control, and reproducibility.
  • •Expertise translating statistical and technical findings into clear insights for technical and non-technical stakeholders.
Experience:5+ yearsHealthcareMachine learningMLOps
Education:Bachelor's
Skills:CollaborationCommunicationCreativityCourageStakeholder management
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
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