Sr Data Scientist

 Responsibilities:

• Research Hypothesis Definition: Formulate and refine research hypotheses to extract meaningful insights from a vast medical imaging and measurements data lake.
• Data Exploration and Analysis: Conduct in-depth data exploration and analysis using advanced statistical techniques and machine learning algorithms.
• Cloud Operations: Collaborate with cloud engineers to deploy and manage machine learning models in a scalable and efficient cloud environment.
• Mentorship and Collaboration: Provide guidance and mentorship to other scientists in the team and collaborate effectively with cross-functional teams.

 Qualifications:

• Bachelor's in Computer Science , Statistics, Data Science , or a related field.
• Expertise in big data technologies, including Lake h ouse architectures , Trino, Data Bricks Delta , efficient querying and distributed computing.
• Ability to analyze complex problems, identify solutions, and communicate findings effectively.

Key Skills:

• Machine learning.
• Data visualization.
• Communication.
• Programming.
• Big data.
• Python.
• Statistical analysis.
• Critical thinking.
• Data Science.