Data Scientist

CDC Foundation

8d•$92,700 - $134,275•Remote

About The Position

The Data Scientist will play a crucial role in advancing the CDC Foundation's mission by leveraging data to inform strategic decisions and initiatives. This role is aligned to the Workforce Acceleration Initiative (WAI). WAI is a federally funded CDC Foundation program with the goal of helping the nation’s public health agencies by providing them with the technology and data experts they need to accelerate their information system improvements. Working within the Informatics and Analytics Department and Great Plains Tribal Epidemiology Center (GPTEC), the public health authority subsidiary of the Great Plains Tribal Leaders Health Board (GPTLHB), the Data Scientist will utilize advanced analytics, statistical techniques, machine learning algorithms, and data visualization techniques to derive insights that support public health efforts and share these insights with tribal communities. The Data Scientist will work collaboratively to ensure that all levels of data processes are integrated seamlessly into the developing informatics architecture, aligned with tribal needs, and maintain focus on accessibility for tribal communities. GPTEC aims to advance modern, comprehensive, user-friendly public health cloud-based data infrastructure for its 18 tribal communities. Data obtained from multiple sources, such as tribal programs, state health departments and the Indian Health Service, among others, is ingested, cleaned, partitioned, analyzed and distributed to tribal public health departments to be used to inform public health activities. Ensuring the successful construction of GPTEC’s data infrastructure, including the creation of real-time tribal specific dashboards, is the key goal of the Data Scientist. The Data Scientist’s activities support the goal of GPTEC to fully exercise public health authority broadly among the State, Tribal, Local and Territorial (STLT) ecosystem, and locally at the direction of its member tribes, for the practice of conducting public health investigations, carrying out interventions, providing surveillance and tracking services, and performing epidemiological analysis, visualizations and reporting. The Data Scientist will be hired by the CDC Foundation and assigned to the Data Coordinating Unit of GPTEC. The candidate will work closely with GPTEC and WAI staff to complete project activities. This position is eligible for a fully remote work arrangement for U.S. based candidates.

Requirements

Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Epidemiology, or related field.
Minimum 5 years of relevant professional experience
Highly proficient and experienced with SQL, Python, JavaScript, C#, etc.
Proficiency in SAS and R required.
Expertise in Tableau and/or Power BI required with a focus on interactive data visualization. 3+ years of experience using Tableau and/or Power BI preferred.
Experience working with relational databases.
Understanding of cloud and distributed systems principles and experience with large-scale, big data methods.
Strong analytical thinking and problem-solving abilities.
Ability to interpret complex datasets and derive meaningful insights.
Excellent verbal and written communication skills.
Ability to effectively convey technical concepts to non-technical partners.
Flexibility to adapt to evolving project requirements and priorities.
Outstanding interpersonal and teamwork skills; collegial; energetic; and able to develop productive relationships with colleagues, partners, 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.

Nice To Haves

Master’s or PhD in related field (ex: MPH) preferred but not required.
Experience using Microsoft Fabric or similar data management software preferred.
Professional certifications in data science, machine learning, or public health analytics preferred.

Responsibilities

Responsible for working with the Data Engineer to expand and optimize data and data pipelines.
Code/transform unstructured data to structured formats that are analyzable by GPTEC and Tribal epidemiologists from various sources.
Collect or extract data from various sources, transforming and cleaning it to ensure accuracy and consistency. Load data into storage systems or data warehouses.
Optimize data pipelines, infrastructure, and workflows for performance and scalability.
Collaborate with GPTEC Data Coordinating Unit staff and epidemiologists to plan the content of data dashboards.
Collaborate with GPTEC staff and tribal public health departments to solicit data visualization needs.
Build tribal-specific dashboards using all available data sources based on GPTEC staff and tribal input.
Update and rework current dashboards to connect to automated data pipelines, when applicable.
Ensure dashboards are easily interpretable by a general audience in digital and printed form.
Create compelling visualizations and reports to communicate findings to partners and decision-makers.
Present data-driven insights in a clear and understandable manner to facilitate informed decision-making.
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.
Integrate data flows into the informatics system, providing for automation of data flows where possible and streamlining of data and visualization processes.
Provide data-driven support and guidance to inform public health policies and initiatives.
Stay abreast of emerging trends, technologies, and methodologies in data science and analytics.
Explore innovative approaches to address complex public health challenges and improve data analysis capabilities.
If decided, assist with the transition of current dashboards over to Power BI.
Up to 10% domestic travel may be required.