<p>We are looking for a highly skilled Data Scientist to join our Enterprise Data and Analytics team on a long-term contract basis. In this role, you will apply advanced machine learning techniques and statistical analysis to large datasets, helping us better understand our customers and communities. The ideal candidate will have a passion for transforming data into actionable insights that support strategic decision-making and business growth.</p><p><br></p><p>Responsibilities:</p><p>• Design and implement advanced analytics models to derive value from large-scale datasets.</p><p>• Conduct experiments and develop predictive models to address complex business challenges.</p><p>• Research and apply cutting-edge machine learning, deep learning, and AI methodologies.</p><p>• Develop and refine algorithms for training and evolving machine learning models.</p><p>• Present data-driven insights and recommendations to influence product development and strategy.</p><p>• Promote best practices in analytics and data utilization across teams.</p><p>• Manage the end-to-end model development process, including requirement gathering, data sourcing, model building, result presentation, and production implementation.</p><p>• Collaborate with cross-functional teams to drive data science initiatives and improve analytical capabilities.</p><p>• Ensure the organization’s data infrastructure supports robust analytics and reporting.</p><p>• Stay updated on emerging technologies and trends in data science and machine learning.</p>
<p><strong>Senior API & Integration Engineer</strong></p><p><strong>Location:</strong> Columbus, OH (Hybrid, 4x Onsite) </p><p><strong>Employment Type:</strong> 26 Week Contract </p><p><br></p><p><strong>About the Role</strong></p><p>We are seeking highly skilled and innovative engineers to join our team in building best-in-class enterprise APIs and production infrastructure that deliver performance, scalability, and reliability. Under the guidance of our Development Manager, you will play a key role in designing and implementing modern integration solutions that power mission-critical systems.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop modern REST APIs using <strong>Java Spring Boot</strong>, CI/CD pipelines, and cloud-enabled services (containers on-prem and in the cloud).</li><li>Collaborate with architects and engineers to create a unified API layer across diverse data sources and applications using an agile, sprint-based approach.</li><li>Assist with system and software design, including:</li><li>Server architecture, availability, disaster recovery planning, and production deployments.</li><li>Database schema design, data mapping, storage efficiency, and considerations for relational and NoSQL databases.</li><li>API design (call signatures, schema, business logic, resilience, logging, and supportability).</li><li>Implement enterprise services and APIs, integrating them into continuous delivery and integration pipelines.</li><li>Work on <strong>Kafka</strong> for use case analysis, environment setup, and data enrichment/transformations.</li><li>Develop and maintain automated unit tests and integration tests.</li><li>Partner with cross-functional teams, vendor partners, and business stakeholders to ensure solutions meet business needs.</li><li>Continuously evolve integration processes and adopt emerging technologies.</li></ul><p><br></p>
We are looking for an experienced Sr. Software Engineer to join our team on a contract basis in Coshocton, Ohio. In this role, you will be responsible for creating dynamic web applications with a focus on front-end development while seamlessly integrating backend systems. If you have a passion for building scalable solutions and collaborating with cross-functional teams, we encourage you to apply.<br><br>Responsibilities:<br>• Develop responsive and user-friendly front-end interfaces using React and modern JavaScript frameworks.<br>• Design and implement robust RESTful APIs utilizing Node.js and Express.js.<br>• Integrate and manage databases to ensure efficient data storage and retrieval.<br>• Utilize Docker for application containerization and streamlined deployment processes.<br>• Collaborate with design and engineering teams to deliver high-quality and visually appealing applications.<br>• Conduct thorough code reviews, testing, and debugging to maintain optimal performance and reliability.<br>• Ensure applications are optimized for responsiveness and front-end performance.<br>• Maintain version control and collaborative workflows using Git.<br>• Stay updated with emerging technologies and apply them to improve existing systems.
<p><strong>Summary</strong></p><p>We are seeking an experienced <strong>Infrastructure Engineer</strong> to maintain and optimize the <strong>Linux environment</strong> supporting Computer-Aided Engineering (CAE) development across virtual and physical machines, both on-premises and in the cloud. This role involves system administration, automation, and collaboration with CAE leadership to ensure a secure, reliable, and high-performance environment.</p><p><strong>Key Responsibilities</strong></p><p><strong>Daily Tasks:</strong></p><ul><li>Provide CAE Linux user support for incidents and inquiries.</li><li>Handle application installation and update requests.</li><li>Monitor overall health of the CAE Linux environment.</li></ul><p><strong>Weekly Tasks:</strong></p><ul><li>Provide status updates to team leadership on completed work, pending tasks, and roadblocks.</li></ul><p><strong>Monthly Tasks:</strong></p><ul><li>Apply monthly patches to systems.</li><li>Maintain and develop automation for application installation, network storage management, and user management.</li></ul><p><strong>Annual Tasks:</strong></p><ul><li>Collaborate with CAE leadership to continuously improve the CAE Linux environment.</li></ul><p><strong>Additional Responsibilities:</strong></p><ul><li>Manage CAE application installation and maintenance.</li><li>Maintain HPC job submission scripts.</li><li>Implement system patching and maintenance.</li><li>Drive task automation for operational efficiency.</li></ul>
