<p>We are seeking a Data Scientist to support and enhance production analytics and machine learning solutions. This role focuses on improving model performance, scalability, and reliability while partnering with cross-functional teams to deliver impactful data-driven outcomes.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Develop, evaluate, and deploy machine learning and analytics solutions in production environments.</li><li>Analyze existing models and data workflows; identify opportunities for improvement and modernization.</li><li>Collaborate with product, engineering, and business teams to deliver scalable solutions.</li><li>Establish performance monitoring, testing, and iteration processes for continuous improvement.</li><li>Contribute to data pipeline development and ensure high-quality, reliable datasets.</li></ul><p><br></p>
We are looking for a Data Scientist to join a fast-moving IT consulting environment in Atlanta, Georgia. This role focuses on turning complex data into practical business insights, with a strong emphasis on forecasting, predictive modeling, and customer-focused problem solving. The ideal candidate combines advanced machine learning expertise with hands-on data preparation skills and can clearly explain how analytical work influences end users and business outcomes.<br><br>Responsibilities:<br>• Build, validate, and refine forecasting and predictive models using Python and modern machine learning frameworks for business-driven use cases.<br>• Develop analytical solutions with tools such as scikit-learn, XGBoost, LightGBM, and time-series or deep learning methods based on project needs.<br>• Use Databricks and Apache Spark to process large datasets efficiently and support scalable model development workflows.<br>• Prepare, transform, and organize data by writing queries, performing ETL tasks, and improving data quality for downstream analysis.<br>• Translate technical findings into clear recommendations for clients and stakeholders, emphasizing business impact and user experience.<br>• Partner with customer-facing teams to define problem statements, shape data-driven approaches, and deliver actionable insights in a fast-paced setting.<br>• Apply product thinking when designing models and analytical outputs to ensure solutions align with customer needs and practical use.<br>• Contribute domain knowledge to projects involving retail or consumer goods data, helping tailor models to industry-specific patterns and challenges.
We are looking for an Azure Architect to lead the design and delivery of secure, scalable cloud environments for a motor freight forwarder in Johns Creek, Georgia. This Long-term Contract position focuses on building resilient Azure solutions that support performance, governance, and operational efficiency. The ideal candidate will combine strong architectural expertise with hands-on experience in infrastructure automation, cloud security, and platform monitoring.<br><br>Responsibilities:<br>• Create cloud architecture strategies in Microsoft Azure that emphasize scalability, reliability, and strong security controls.<br>• Provision and maintain Azure infrastructure using Terraform and other infrastructure-as-code methods to support consistent deployments.<br>• Partner with network and security stakeholders to strengthen identity management, access controls, data protection, and secure connectivity across the environment.<br>• Establish observability practices with Azure Monitor, Log Analytics, and Application Insights to track system health and improve service availability.<br>• Develop automation for deployment workflows and day-to-day operational tasks to increase efficiency and reduce manual intervention.<br>• Integrate cloud processes with ServiceNow APIs where needed to support operational workflows and service management activities.<br>• Review platform performance and resource utilization, then recommend improvements for cost, scalability, and stability.<br>• Provide technical guidance on Azure services and best practices to support sound cloud engineering decisions across the organization.
<p><strong>Key Responsibilities</strong></p><ul><li>Design and implement <strong>secure, scalable, and highly available Azure cloud architectures</strong>.</li><li>Build and manage Azure infrastructure using <strong>Terraform, ARM templates, and Azure CLI</strong>.</li><li>Provision and support Azure services including <strong>compute, networking, storage, and PaaS</strong> offerings.</li><li>Partner with network and security teams to implement <strong>IAM, network security, and data protection controls</strong>.</li><li>Implement monitoring, logging, and alerting using <strong>Azure Monitor, Log Analytics, and Application Insights</strong>.</li><li>Troubleshoot performance, availability, and reliability issues across Azure environments.</li><li>Automate deployments and operational workflows, including integrations with <strong>ServiceNow APIs</strong>.</li><li>Support CI/CD and infrastructure automation initiatives to improve deployment consistency and efficiency.</li></ul><p><br></p>