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2 results for Cloud Computing Analyst in Atlanta, GA
- Atlanta, GA
- onsite
- Permanent / Full Time
- 100000 - 125000 USD / Yearly
- <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>
- 2026-04-24T00:00:00Z
- Atlanta, GA
- onsite
- Permanent / Full Time
- 120000 - 140000 USD / Yearly
- 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.
- 2026-05-01T00:00:00Z