RadCube Careers
Data Scientist
Data Scientist - Practical, Advance Analytics, Medicare and Medicaid Experience
We are seeking a highly skilled and results-oriented Data Scientist to join our team. You will be responsible for developing and implementing advanced analytical solutions to support our work in Medicaid and Medicare.
Responsibilities:
Develop and implement machine learning models for predictive analytics and data insights
Analyze large datasets to identify trends and patterns
Translate data insights into actionable recommendations for business stakeholders
Stay up-to-date on the latest data science techniques and tools
Collaborate with Data Architects, Business Analysts, and other teams to ensure successful project completion
Qualifications:
Master's degree in Statistics, Data Science, Computer Science, or related field
Minimum 3 years of experience as a Data Scientist
Proven experience in developing and applying advanced analytical techniques (e.g., machine learning, statistical modeling)
Strong understanding of data analysis methodologies and best practices
Experience working with large datasets and cloud-based platforms (e.g., AWS, Azure)
Excellent communication and presentation skills
We are seeking a highly skilled and results-oriented Data Scientist to join our team. You will be responsible for developing and implementing advanced analytical solutions to support our work in Medicaid and Medicare.
Responsibilities:
Develop and implement machine learning models for predictive analytics and data insights
Analyze large datasets to identify trends and patterns
Translate data insights into actionable recommendations for business stakeholders
Stay up-to-date on the latest data science techniques and tools
Collaborate with Data Architects, Business Analysts, and other teams to ensure successful project completion
Qualifications:
Master's degree in Statistics, Data Science, Computer Science, or related field
Minimum 3 years of experience as a Data Scientist
Proven experience in developing and applying advanced analytical techniques (e.g., machine learning, statistical modeling)
Strong understanding of data analysis methodologies and best practices
Experience working with large datasets and cloud-based platforms (e.g., AWS, Azure)
Excellent communication and presentation skills