Why Hiring connects talented professionals with organizations building the future of healthcare through technology and data. They are seeking a Junior Data Scientist to analyze healthcare data and support AI initiatives that improve operational efficiency and patient experiences.
Responsibilities:
- Analyze structured and unstructured healthcare datasets
- Assist in developing predictive models for operational and clinical insights
- Perform statistical analyses to identify trends and opportunities
- Support AI and machine learning initiatives
- Clean, validate, and prepare datasets for modeling
- Collaborate with engineering, analytics, and healthcare teams
- Build dashboards and reports for internal stakeholders
- Help improve data quality and automation processes
- Present findings in a clear and understandable way
- Stay up to date with emerging data science techniques
Requirements:
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field
- 0-2 years of experience through internships, research, or professional work
- Knowledge of Python and SQL
- Understanding of statistics and machine learning fundamentals
- Familiarity with data visualization tools such as Tableau or Power BI
- Strong analytical and problem-solving abilities
- Excellent communication skills
- Eagerness to learn new technologies
- Experience with healthcare datasets
- Exposure to cloud platforms (AWS, Azure, or GCP)
- Knowledge of NLP or predictive healthcare analytics
- Personal or academic machine learning projects