Data Scientist
Indiana
Job HighlightsLocation: Remote, must be based in the United StatesSalary Range: $92,700-$134,275 per year, plus benefits. Individual salary offers will be based on experience and qualifications unique to each candidate. Position Type: Grant funded, limited-term opportunityPosition End Date: June 30, 2025
OverviewThe Data Scientist will play a crucial role in advancing the CDC Foundation's mission by leveraging data to inform strategic decisions and initiatives in a public health organization. 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 Health & Hospital Corporation of Marion County, Marion County Public Health Department. The Data and Informatics Specialist will have expertise in data analytics and Power BI to develop interactive visualizations and dashboards, enabling public health professionals to make data-driven decisions from large and complex datasets. The ideal candidate will have experience working with public health or healthcare provider data, with a strong focus on building predictive models, data forecasting, and creating insights that can guide public health strategies. The Data Scientist will be hired by the CDC Foundation and assigned to the Marion County Public Health Department, Epidemiology and Corporate Information Services departments. This position is eligible for a fully remote work arrangement for U.S. based candidates.
Responsibilities
- Design and develop interactive dashboards using Power BI to present public health data, allowing professionals to gain actionable insights.
- Implement complex Power BI models and use DAX functions for custom calculations, predictive analysis, and advanced reporting.
- Use advanced techniques to create forecasting models and conduct predictive analysis to inform public health decisions and strategies.
- Analyze large datasets, identifying trends and patterns to provide strategic recommendations.
- Collaborate with public health professionals and stakeholders to understand data needs and provide solutions that support data-driven decision-making.
- Communicate complex technical information to non-technical stakeholders clearly and effectively.
- Strong experience as a Power BI developer, especially in public health or healthcare data.
- Proficiency in complex Power BI modeling, including the use of DAX functions for custom calculations and analytics.
- Preferred proficiency in one or more of the following: SQL, R, SAS (Enterprise Guide).
- Familiarity with Microsoft Office Suite (Word, SharePoint, PowerPoint, etc.).
- 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.
- Continuously optimize algorithms for enhanced accuracy and performance.
- 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.
- Collaborate with the public health organization and its partners to understand their data needs and objectives.
- 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.
Qualifications
- Bachelor’s degree or higher in Data Science, Statistics, Epidemiology, or related field. Master’s or PhD in related field preferred.
- Minimum 5 years of relevant professional experience
- Proficiency in programming languages such as Python or R.
- Experience with data manipulation and analysis tools (e.g., SQL, Pandas, NumPy).
- Knowledge of machine learning frameworks (e.g., TensorFlow, Scikit-learn).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- 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, 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.
All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, national origin, age, mental or physical disabilities, veteran status, and all other characteristics protected by law.
We comply with all applicable laws including E.O. 11246 and the Vietnam Era Readjustment Assistance Act of 1974 governing employment practices and do not discriminate on the basis of any unlawful criteria in accordance with 41 C.F.R. §§ 60-300.5(a)(12) and 60-741.5(a)(7). As a federal government contractor, we take affirmative action on behalf of protected veterans.
The CDC Foundation is a smoke-free environment. Relocation expenses are not included. Apply
Job Profile
Fully remote Must be based in the United States
Benefits/PerksFully remote Grant funded opportunity Health benefits Health protection mission Limited-term opportunity Remote work Remote work arrangement
Tasks- Analyze datasets
- Apply statistical methods
- Collaborate with stakeholders
- Communicate technical info
- Conduct predictive analysis
- Design dashboards
- Develop predictive models
- Implement power bi models
Analytics C Collaboration Communication Data analysis Data & Analytics Data Forecasting Data Science Data Visualization DAX Epidemiology Informatics Machine Learning Machine Learning Algorithms Methodologies Microsoft Office Suite Modeling Numpy Pandas Power BI Predictive Modeling Problem-solving Public health Public Health Analytics Public Health Data Python R Reporting SAS Security SQL Statistical methods Statistics Tableau Teamwork
EducationData Science Epidemiology Public health Related Field Statistics
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9