Page Mechanical Group, Inc.
Data Scientist
Page Mechanical Group, Inc., Atlanta, Georgia, United States, 30383
About Our Company:
Delmock Technologies, Inc. (DTI) is seeking a Data Scientistto explore exciting career opportunities. DTI is a leading HUBZone business in Baltimore, known for delivering innovated IT and Health solutions with a commitment to ethics, excellence, and superior customer service. At DTI, we balance continuous growth and innovation with a strong dedication to corporate social responsibility. Recently ranked as high as #3 among HUBZone companies in a GOVWIN survey, DTI offers a dynamic environment for those passionate about impactful projects, community involvement, and contributing to a top-ranking Federal project support team.
Join our talented team and be part of a company that values both professional excellence, community impact, and diversity of ideas. DTI is committed to hiring and maintaining a diverse workforce. We are an equal opportunity employer making decisions without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class.
Client Information:
The Centers for Disease Control and Prevention’s (CDC) Division of HIV Prevention (DHP) focus on high impact prevention of HIV—by preventing new HIV infections, improving health outcomes for persons with HIV, and reducing HIV related disparities and health inequities.
DHP develops and maintains a variety of data and information systems to support its mission, including systems to collect, transmit, store, and analyze data for HIV/AIDS surveillance, epidemiology, and program monitoring and evaluation. We are looking for IT and public health partners including statisticians, researchers, behavioral scientists, computer scientists, public health advisors/analysts, budget analysts, and other program staff.
Responsibilities:
Develop and implement statistical models and machine learning algorithms to analyze large datasets and extract actionable insights relevant to public health initiatives.
Collaborate with epidemiologists and public health experts to understand data analysis needs and to design effective analytics strategies and solutions.
Clean, preprocess, and verify the integrity of data used for analysis.
Present data insights and recommendations to stakeholders through clear visualizations and comprehensive reports.
Stay current with advanced data analysis techniques and technologies, applying them to improve existing methodologies and workflows.
Minimum Requirements:
Master’s degree or higher in Data Science, Statistics, Computer Science, or a related quantitative field.
Minimum of 3 years of experience in a data science role, with a strong foundation in statistical analysis, predictive modeling, and machine learning.
Proven ability to work with large, complex datasets and to develop complex analytical algorithms.
Experience with data science tools and programming languages such as Python, R, SQL, and big data technologies.
Preferred:
Experience in healthcare or public health data analysis, with a deep understanding of epidemiological data.
Familiarity with geographic information systems (GIS) and other spatial analysis tools.
Certification in a major statistical software package (e.g., Certified SAS Base Programmer).
Professional certification in data science or advanced analytics (e.g., Certified Analytics Professional, Data Science Council of America certification).
Location:
This opportunity is remote.
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Delmock Technologies, Inc. (DTI) is seeking a Data Scientistto explore exciting career opportunities. DTI is a leading HUBZone business in Baltimore, known for delivering innovated IT and Health solutions with a commitment to ethics, excellence, and superior customer service. At DTI, we balance continuous growth and innovation with a strong dedication to corporate social responsibility. Recently ranked as high as #3 among HUBZone companies in a GOVWIN survey, DTI offers a dynamic environment for those passionate about impactful projects, community involvement, and contributing to a top-ranking Federal project support team.
Join our talented team and be part of a company that values both professional excellence, community impact, and diversity of ideas. DTI is committed to hiring and maintaining a diverse workforce. We are an equal opportunity employer making decisions without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class.
Client Information:
The Centers for Disease Control and Prevention’s (CDC) Division of HIV Prevention (DHP) focus on high impact prevention of HIV—by preventing new HIV infections, improving health outcomes for persons with HIV, and reducing HIV related disparities and health inequities.
DHP develops and maintains a variety of data and information systems to support its mission, including systems to collect, transmit, store, and analyze data for HIV/AIDS surveillance, epidemiology, and program monitoring and evaluation. We are looking for IT and public health partners including statisticians, researchers, behavioral scientists, computer scientists, public health advisors/analysts, budget analysts, and other program staff.
Responsibilities:
Develop and implement statistical models and machine learning algorithms to analyze large datasets and extract actionable insights relevant to public health initiatives.
Collaborate with epidemiologists and public health experts to understand data analysis needs and to design effective analytics strategies and solutions.
Clean, preprocess, and verify the integrity of data used for analysis.
Present data insights and recommendations to stakeholders through clear visualizations and comprehensive reports.
Stay current with advanced data analysis techniques and technologies, applying them to improve existing methodologies and workflows.
Minimum Requirements:
Master’s degree or higher in Data Science, Statistics, Computer Science, or a related quantitative field.
Minimum of 3 years of experience in a data science role, with a strong foundation in statistical analysis, predictive modeling, and machine learning.
Proven ability to work with large, complex datasets and to develop complex analytical algorithms.
Experience with data science tools and programming languages such as Python, R, SQL, and big data technologies.
Preferred:
Experience in healthcare or public health data analysis, with a deep understanding of epidemiological data.
Familiarity with geographic information systems (GIS) and other spatial analysis tools.
Certification in a major statistical software package (e.g., Certified SAS Base Programmer).
Professional certification in data science or advanced analytics (e.g., Certified Analytics Professional, Data Science Council of America certification).
Location:
This opportunity is remote.
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