Data Science / Data Engineering

Qualifications: Minimum Qualifications Education and Experience Education: Bachelor’s degree in Data Science, Computer Science, Mathematics, or a related field equivalent professional experience may be considered. Experience: 5+ years of experience in data science, data engineering, or related fields with hands-on experience in deploying machine learning models. Preferred Education & Experience Master’s or PhD in Data Science, Machine Learning, Computer Science, or a related field. Experience in leading data science teams or large-scale projects within an enterprise setting. Experience with Databricks, including designing, deploying, and optimizing machine learning models in the Databricks environment. Expertise in cloud platforms, especially Azure and AWS, including experience with data storage, model deployment, and scaling cloud-based solutions. Experience with Environmental Systems Research Institute (ESRI) and geographic information system (GIS) analytics, with a focus on spatial data analysis and location-based insights. Strong background in Azure Data Services (e.g., Azure Data Lake, Azure Machine Learning) and AWS Machine Learning Services (e.g., SageMaker, Redshift, Lambda).. Certifications Relevant certifications in machine learning, data science, cloud computing, or network administration (e.g., AWS Certified Data Analytics, DataBricks, Microsoft Azure Data Scientist Associate) are highly desirable Job Type: Contract Pay: $51.85 per hour Expected hours: 37.5 per week License/Certification: AWS Certified Data Analytics – Specialty (Required) Location: Atlanta, GA 30320 (Required) Shift availability: Day Shift (Required) Work Location: In person