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.
<p><strong>Overview</strong></p><p>We are seeking a Data Analyst for an 18-24 month contract to support a large-scale data migration and integration initiative following a recent acquisition. This individual will work closely with a Lead Data Analyst who is responsible for the overall migration strategy and data architecture. The Data Analyst will execute assigned work packages, perform data validation and reconciliation activities, and help ensure data quality throughout the migration process.</p><p>This role is ideal for someone with strong SQL and analytical skills who enjoys working with data, identifying discrepancies, and supporting business-critical data conversion efforts.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Run data extracts from source systems and databases</li><li>Write and execute moderate SQL queries for data analysis and validation</li><li>Map fields between legacy and target systems</li><li>Perform data migration reconciliation and validation activities</li><li>Investigate rejected, missing, or inaccurate records and document findings</li><li>Create basic reports and dashboards using Power BI or Tableau</li><li>Maintain issue logs, conversion files, and migration documentation</li><li>Support testing efforts before and after data migrations</li><li>Escalate complex data or system issues to the Lead Data Analyst or Manager</li><li>Collaborate with project stakeholders to ensure accurate and complete data conversion</li></ul><p><strong>*PLEASE NOTE: </strong>This position is onsite Monday-Friday in Alpharetta, GA and no exceptions will be made. Do not apply to this posting if you're not already local to Metro ATL and willing to work onsite</p>
Our client is seeking a Senior Data Scientist to join their Data & Analytics organization and lead the development of advanced machine learning and predictive analytics solutions. This role is ideal for a hands-on data science leader who enjoys solving complex business problems, building production-level ML models, and partnering with cross-functional teams to deliver measurable business impact. <br> The Senior Data Scientist will play a key role in developing and operationalizing machine learning solutions across areas including risk, fraud, customer analytics, marketing, and portfolio management. The successful candidate will bring strong technical expertise across the full machine learning lifecycle and the ability to translate complex data insights into actionable business recommendations. <br> Responsibilities Lead the design, development, validation, deployment, and monitoring of machine learning and predictive analytics solutions. Build, optimize, and maintain production-grade models that drive business outcomes across risk, fraud detection, customer behavior, marketing analytics, and portfolio management. Perform exploratory data analysis, feature engineering, statistical analysis, and hypothesis testing to identify trends and actionable insights. Develop scalable analytics solutions using large structured and unstructured datasets. Translate complex analytical findings into clear recommendations for technical teams, business stakeholders, and leadership. Create dashboards, visualizations, and reporting solutions to communicate model performance, insights, and business impact. Partner with data engineering teams to define data requirements, improve data pipelines, and ensure data quality. Establish and promote best practices around machine learning development, MLOps, model governance, and analytics processes. Lead proof-of-concept initiatives evaluating emerging machine learning techniques and AI technologies. Own the complete model lifecycle, including feature engineering, training, validation, deployment, monitoring, retraining, and optimization. Mentor entry level data scientists through technical guidance, code reviews, and knowledge sharing. Provide technical leadership around modeling strategies, architecture decisions, and analytical methodologies.
<p><strong>Database Administrator III</strong></p><p><strong>Location: Remote, Based out of Alpharetta, GA</strong></p><p><strong>Duration: Through 6-month contract, extensions likely</strong></p><p><br></p><p>We are looking for an experienced Database Administrator III to support database operations, complete database projects, and provide technical administration across production and development environments. The role requires deep MySQL production replication experience, cloud database knowledge, and a DevOps-focused approach to database stability, reliability, performance, and automation.</p><p><br></p><p><strong><u>Responsibilities</u></strong>:</p><ul><li>Support MySQL database management systems and related software </li><li>Design and build database environments </li><li>Develop estimates and schedules for new projects and system extensions </li><li>Provide database administration across development and production environments </li><li>Support MySQL production replication </li><li>Improve database stability, reliability, security, and performance </li><li>Expand database monitoring and observability capabilities </li><li>Automate database administration and operational processes </li><li>Support critical database issues during evenings or weekends as part of an on-call rotation </li><li>Manage multiple assignments and additional responsibilities </li></ul><p><br></p>