Req ID: RQ172750
Type of Requisition: Regular
Clearance Level Must Be Able to Obtain: None
Public Trust/Other Required: None
Job Family: Data Analysis
Skills:
Data Analysis,Databricks Platform,Data Science,Machine Learning,Technical Solutions
Experience:
3 + years of related experience
Job Description:
GDIT is hiring Scientific Data Analyst to provide support to the Epidemiology Task Force: CORVD Program at CDC . Due to the recent events caused by the COVID-19 pandemic, the CDC Epidemiology Task Force is responsible for identifying and tracking COVID-19 cases, spread and containment. This position will give support across several teams within the task force.
HOW YOU WILL MAKE AN IMPACT:
Coordinate with CDC OCIO’s office and Cloud Team designing and refining in hosting systems and applications.
Establish process for managing and mitigating solutions defects and issues.
Use technology best practices to produce appropriate documentation at every phase of the process consistent with HHS/CDC Enterprise Performance Life Cycle and Capital Planning requirements.
Engage stakeholders in development and testing of the technical solutions.
Utilize latest technologies available in the CDC enterprise to develop innovative solutions. These include but not limited to Python/Pyspark, SAS, CDC cloud environments (Databricks, SAS Viya, Azure Dev Ops etc.,).
Specifics to CORVD RESP-NET programs
Data Science/Management
Work with ESP data managers to design and implement pathogen specific data pipelines and transform data into actionable insight.
Develop highly reliable data pipelines from both batch and/or real-time data sources in Azure Databricks Platform
Responsible for designing tables, storing procedures, views, and functions.
Develop procedures and scripts for data migration and dissemination.
Create custom reports.
Develop documentation (user guide, technical updates, job flowchart, algorithm use etc.).
WHAT YOU’LL NEED TO SUCCEED:
Bachelor’s or master’s degree in computer science, Data Science, Statistics, or a related field.
Proven experience as a Data Scientist, with a focus on Azure Databricks.
Strong programming skills in Python and PySpark
Excellent understanding of Microsoft SQL Server and SQL programming
Experience with designing and executing machine learning models and applications.
Knowledge of SQL queries, SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SSIS)
Critical thinker and problem-solving skills
Team player
Good time-management skills
Great interpersonal and communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams
Experience working with states or other domestic jurisdictions awarded CDC
WHAT GDIT CAN OFFER YOU:
Challenging work that makes a real impact on the world around you
Internal mobility team dedicated to helping you own your career
401K with company match
Diverse, highly collaborative teams
Professional development, education assistance, certification and training opportunities
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#GDITPublicHealthJobs
We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.
We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.
GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.