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Amsterdam
2 days ago
Senior Data Scientist (ML & Statistical Modelling) logo

Senior Data Scientist (ML & Statistical Modelling)

Pacmed

Amsterdam
2 days ago
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Senior Data Scientist (ML & Statistical Modelling)

Pacmed is seeking a Senior Data Scientist to lead machine learning and statistical modelling for healthcare AI solutions. The role involves developing and deploying production ML models, driving statistical modelling for capacity management, and mentoring team members. Requires 5+ years experience, Python proficiency, and strong statistical foundations.

AIHybridFull-timeSeniorPythonScikit-learn

Senior Data Scientist (ML & Statistical Modelling)

Pacmed is seeking a Senior Data Scientist to lead machine learning and statistical modelling for healthcare AI solutions. The role involves developing and deploying production ML models, driving statistical modelling for capacity management, and mentoring team members. Requires 5+ years experience, Python proficiency, and strong statistical foundations.

Apply
AIHybridFull-timeSeniorPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid: be present in the office a couple of days per week

Experience Required

5 years

Employment Type

Full-time

Experience Level

Senior: 5+ years professional experience

Core Qualifications

Technical (Must-have)
Pythonscikit-learnpandaspolarsnumpyMachine LearningStatistical ModellingData ExplorationModel DeploymentModel MonitoringSQLFastAPIVueJSDockerAzure
Soft Skills
CuriosityProduct MindsetTeam PlayerOwnershipMentoringCommunication

Preferred Qualifications

Technical (Nice-to-have)
scikit-survivalLightGBMPySparkApache Spark

Key Responsibilities

  • •Own the development and deployment of machine learning models trained on large-scale medical data end-to-end, improving predictive performance, calibration, and robustness.
  • •Lead statistical modelling for capacity management: combining and extending prediction models into unit- and hospital-level insights.
  • •Drive all stages of the ML process for new products: from problem definition to post-market monitoring.
  • •Scope and drive medium- and long-term modelling projects, working with team leads and product managers.
  • •Dive into heterogeneous healthcare datasets to improve data quality and model reliability.
  • •Set the bar for methodological and code quality: writing professional, maintainable, well-tested code.
  • •Drive R&D and bring new techniques and ideas into the team.
  • •Use AI tooling wisely and responsibly.
  • •Participate in validation and verification activities according to medical and information security regulations.
  • •Be present in the office a couple of days per week.
Senior Data ScientistMachine LearningStatistical ModellingHealthcareAIPythonAmsterdamHybridFull-timePacmed
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