Aktuelle Jobs im Zusammenhang mit Senior Data Scientist - Berlin, Berlin - Merantix

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Senior Data Scientist

vor 2 Monaten

Berlin, Berlin, Deutschland Merantix Vollzeit
About the Position

We are seeking a highly skilled Senior Data Scientist to join our team at Merantix. As a key member of our analytics division, you will play a crucial role in leveraging data to drive healthcare outcomes and advance our mission of revolutionizing fertility medicine.

Key Responsibilities
  • Data Strategy and Analysis: Develop and implement data collection and analysis strategies to support machine learning projects.
  • Model Development and Evaluation: Build and refine predictive models using statistical and machine learning techniques.
  • Data Governance and Compliance: Ensure compliance with data privacy standards in healthcare.
  • Team Leadership: Collaborate with cross-functional teams to deliver actionable insights and solutions.
  • Advanced Analytics: Utilize advanced techniques to interpret complex healthcare data.
  • Communication and Reporting: Present data-driven insights to stakeholders for decision-making.
  • Integration with Healthcare Systems: Design data integration solutions with healthcare standards.
Requirements
  • Educational Background: Master's or PhD in Data Science, Statistics, Computer Science, or related field.
  • Professional Experience: At least 5 years in data science with a focus on healthcare analysis.
  • Technical Expertise: Proficiency in Python, R, SQL, and machine learning algorithms.
  • Regulatory Knowledge: Understanding of GDPR and ISO standards in healthcare data.
  • Analytical Skills: Strong problem-solving skills and ability to communicate complex data concepts.
Preferred Skills
  • Cloud Computing: Experience with Google Cloud Platform tools for data processing.
  • Version Control: Proficiency in using Git for source code management.
  • Open Source Technologies: Familiarity with libraries like Pandas, NumPy, and Matplotlib.
  • CI/CD Practices: Knowledge of continuous integration and deployment pipelines.
  • Monitoring Tools: Utilization of monitoring tools for deployed models performance.