Data Scientist

CyncHealth

CyncHealth is offering exciting opportunities for Data Scientists to contribute to solving health data challenges through innovative big data and AI-driven solutions. The team is committed to advancing health informatics by applying statistical methods to interpret and summarize data, providing actionable recommendations. This position supports remote work within the U.S., allowing candidates to engage fully in their data science efforts.

In this role you can expect to have the responsibilities:

• Engage in the engineering and analytics lifecycle using big data and AI technologies.
• Apply statistical theories to collect, interpret, and summarize data.
• Conduct data mining to extract and analyze raw data for recommendations and reporting.
• Perform data visualization to meet organizational analytical needs.
• Forecast time series predictions using historical data.
• Support data cleaning and transformation efforts for accessible information.
• Develop predictive models and machine-learning algorithms.
• Identify data gaps and apply data science methodologies to address them.
• Document processes, research, and comply with security and data governance policies.

This role comes with the following benefits:

This role requires you to have:

• Master's degree in Computer Science, Health Informatics or related field
• Two years of experience, including one year with health data
• Data mining and statistical analysis
• Cloud-based machine learning application deployment
• Experience with Python, JavaScript, PySpark
• Operating Linux-based systems
• Knowledge of data structures and algorithms

You would benefit from having:

Remote work is available within the U.S., and the position adheres strictly to security and data governance policies.