Public Health Data Science Lead

Austincc; Atlanta (GA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Austincc is seeking a Lead Data Scientist to oversee a team analyzing public health surveillance data and administrative health data. You will provide expert guidance on data collection, processing, and analysis, and collaborate with cross-disciplinary professionals to deliver impactful insights.

The role emphasizes leading data science initiatives, applying machine learning and NLP methods, and communicating findings through comprehensive reports that inform public health decisions.

Qualifications

• Degree in Mathematics, statistics, computer science, data science, or related field at least a bachelor’s level.
• Combination of education and experience: courses equivalent to a major (30 semester hours) plus additional education or experience.
• One year of specialized experience equivalent to GS-13 in the Federal service with data science work and public health data systems.

Responsibilities

• Serve as data science expert in analysis and classification of public health data; lead a team of data scientists.
• Consult with statisticians, data scientists, AI professionals and public health experts on collection, processing, mining, coding, classification and analysis of data.
• Prepare reports discussing data science methodology, data quality, methods, results and health relevance.

Skills

Data science

Public health data

Team leadership

Statistics

Machine learning

Natural language processing

Education

Bachelors in Mathematics/Statistics/CS/Data Science

Job description

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***This job will close when we have received 150 applications which may be sooner than the closing date.***

• OPEN TO THE PUBLIC

WHAT YOU'LL BE DOING DAY TO DAY

As a Lead Data Scientist, you will:

• Serve as a data science expert in the analysis and classification of public health surveillance, research, and administrative health data; and serve as Team Lead for a team of data scientists.
• Consult and collaborate with statistical, data science, artificial intelligence and public health professionals in the collection, linkage, processing, mining, coding, classification, and analysis of public health surveillance, research, and administrative health data.
• Assist in preparing comprehensive reports that include discussion of substantive issues related to data science methodology for public health surveillance and related applications, assessment of the adequacy and quality of data used in the analyses, and explanation of the methods, results, and relevance to the health issue under study.

Qualifications

WHAT WE ARE LOOKING FOR

Basic Qualifications:

A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.

or

B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

AND

Minimum Qualifications: You must have one year of specialized experience to perform successfully the duties of the position. To be creditable, specialized experience must have been equivalent to at least the GS-13 grade level in the Federal service performing ALL of the following:

• Performing data science work that requires knowledge of public health data systems, converting data, and proficiency data science;
• Developing and analyzing structured and unstructured data; and
• Understanding of data science methods (e.g., machine learning, natural language processing).