Public Health Data Scientist

DRT Strategies

Atlanta, GA, United States Full-time $90K – $110K/yr 16 days ago
Workplace
On-site
Location
Atlanta, GA, United States
Who can apply
Based in the United States: you usually need the right to work there

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About the role

Overview DRT Strategies delivers expert management consulting and information technology (IT) solutions to large federal agencies, state and local government and commercial clients in health care, technology, and financial services industries.

The three letters of our name, DRT, stand for Driving Resolution Together, which is the core philosophy on which the company was founded. That is, we collaborate with our clients to solve their most pressing challenges - together.

We are problem solvers dedicated to your success, combining Fortune 500 experience with small business responsiveness. We have established a reputation with our clients as a forward-thinking consulting firm with demonstrated success in implementing solutions that lead to meaningful results. Our world-class consultants unite people to work collaboratively to achieve project goals and make vision a reality.

Project Description: DRT provides data, technology, and mission support to its federal public health partners. We collaborate to address diverse, complex, and emerging problems within the public health domains of environmental health, infectious disease, chronic disease, and emergency preparedness/response. Our support drives the adoption of emerging best practices and technologies to increase the usefulness and value of public health data. Our team develops innovative data capture and analysis techniques in the field to enhance emergency response efforts all around the world.

Job Summary: The Public Health Data Scientist works directly with public health data analysts, coordinators, epidemiologists, and developers. The Scientist analyses, cleans, organizes, and provides recommendations on public health data for use in public health surveillance systems. Working with technologies like Python, SAS, R, or SQL, the Scientist prepares data for visualization and user interaction. They access public health databases, data structures, and data flows to recommend and perform the import, structuring, and encoding of public health data. The Scientist supports public health analyses by identifying and implementing the best techniques and solutions to access, transform, and access data.

Responsibilities: * Develop and implement advanced data management systems design, or redesign, to utilize new technology * Gathers, analyzes, and cleanses public health and geospatial data sets * Applies analytical, statistical, and programmatic approaches to data * Develops, codes, tests, and maintains database programs * Maintains data integrity by working to eliminate redundancy * Research and enable processing of structured and unstructured data to derive patterns, trends, and correlations and to enable entity extraction, disambiguation, common operating picture solutions, visualization, and other data-related support. * Implements improvements to data entity extraction, entity resolution, pattern extraction, link analysis, human and social-network links/connections, cloud online analytical processing, data frameworks, visualization support, and related algorithms. * Creates, modifies, and maintains software capabilities that extract insight from data, to include information, software applications, machine learning models, automation, and other software components. * Stays informed of the ways the organization uses its data and recommends emerging techniques and technologies to enhance data use.

Required Experience: * 5+ years of experience in data related roles * Familiarity with implementing improvements to data entity extraction, entity resolution (disambiguation), pattern extraction, link analysis, and human/social-network connection mapping. * Strong foundation in applying analytical, statistical, and programmatic methods to transform raw data into operational insights. * Experience with cloud online analytical processing (OLAP) environments and data frameworks. * Expereince in Python, SAS, R, or SQL

Preferred Experience: * Recent experience with CDC environment and standards: SDLC, technical architecture, release processes * Knowledge of public health data and related privacy requirements (HIPPA, PII, etc.) * Experience with cloud-hosted data tools and repositories

Education & Training: * Degree in Data Science, Computer Science, Public Health, or related field

Work Authorization, Clearance Requirement, & Additional Information: * This position requires the ability to obtain and maintain a U.S. government Public Trust clearance. Due to contract requirements, candidates must be U.S. citizens or lawful permanent residents (green card holders) to be eligible. * No agencies, third parties, or Corp-to-Corp submissions.

Salary Range: * $90,000-$110,000 * Salary commensurate with experience.

About Data Scientist jobs in the United States

Open jobs
990 open Data Scientist jobs in the United States, 163 of them posted in the last 7 days. See all Data Scientist jobs in the United States
Typical advertised pay
$150,000 – $221,000 a year for the middle half of the 523 job ads from 270 employers that state a salary in US dollars (median $185,000). This is base pay as advertised, not total compensation. Data Scientist salary in the United States
Skills the job ads ask for most
  • Python 81%
  • Machine learning 74%
  • SQL 59%
  • Statistics 50%
  • LLMs 38%
  • Data analysis 36%

Share of the 489 newest postings for the role that name each skill. Resume keywords for Data Scientist jobs

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