Data Scientist

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Workforce Services State Funded Projects Delaware

Salary Range: $44.57 To $64.55 Hourly

Position Title:

Data Scientist

Location:

Remote; must be based in the United States.

Position End Date:3/31/2027

Salary: $44.57-$64.55 per hour (plus benefits), Part-time, 20 hours per week

The CDC Foundation is seeking a Data Scientist to leverage advanced analytics, statistical techniques, and machine learning to inform strategic decisions and initiatives in a public health organization. Working within the Delaware Division of Public Health Epidemiology Section, this position will derive insights that support public health outbreak response, surveillance, and preparedness, including measles, while helping accelerate data and information system improvements.

The Data Scientist will be hired by the CDC Foundation and assigned to the Delaware Division of Public Health Epidemiology Section.

• Bachelor’s degree or higher in Data Science, Statistics, Epidemiology, or a related field;
  Master’s or PhD in a related field preferred.
• Minimum 5 years of relevant professional experience.
• Proficiency in data visualization tools (e.g., Power BI).
• Proficiency in ArcGIS software suites.
• Proficiency in statistical packages (e.g., SAS).
• Proficiency in programming languages such as Python or R.
• Experience with data manipulation and analysis tools (e.g., SQL).
• Experience applying Natural Language Processing techniques for text classification or information extraction, preferably on healthcare or public health text data.
• Experience with cloud-based data warehouses (e.g., Snowflake) and cloud platforms (e.g., AWS, Azure) preferred.
• Experience with small area estimation techniques, Bayesian hierarchical models, or multilevel modeling.
• Strong analytical thinking and problem-solving abilities.
• Ability to interpret complex datasets and derive meaningful insights.
• Excellent verbal and written communication skills.
• Ability to convey technical concepts to non-technical partners effectively.
• Flexibility to adapt to evolving project requirements and priorities.
• Professional certifications in data science, machine learning, or public health analytics preferred.
• Outstanding interpersonal and teamwork skills; collegial, energetic, and able to develop productive relationships with colleagues and partners.
• Demonstrated ability to work well independently and within teams.
• Experience working in a virtual environment with remote partners and teams.
• Proficiency in Microsoft Office.

• Develop, implement, and improve data analysis and visualization tools for use by organization staff to provide timely, relevant information that informs decisions affecting the public’s health, including outbreak response, surveillance, and preparedness.
• Analyze diverse datasets related to public health issues to identify trends, patterns, and correlations.
• Apply statistical methods and machine learning algorithms to extract actionable insights.
• Develop predictive models to anticipate disease patterns, assess risk factors, and guide intervention strategies.
• Utilize statistical modeling techniques to produce reliable, precise estimates for small populations or sparsely populated rural regions and build interactive dashboards for real-time surveillance.
• Provide geospatial analysis support for infectious disease surveillance and epidemiologic investigations.
• Apply Natural Language Processing techniques to unstructured data to automate data processing and support case detection.
• Continuously optimize algorithms for enhanced accuracy and performance.
• Create compelling visualizations and reports…