<p>Our Enterprise Data and Analytics team is growing. We’re looking for a Lead Data Scientist to assist with building and developing our Data Science team and lead us into the next generation of banking. We are reimagining how data is used across the bank to better serve our customers support our communities and make our colleagues lives better. Our goal is to be the best performing Regional Bank in America and we need data and analytics to meet that goal.</p><p>As we advance our data science and analytics capabilities we want a Lead Data Scientist to develop experts in modeling complex business problems and discovering business insights using statistical algorithmic mining and visualization techniques. We are looking for a leader who has a passion for developing others driving change and continuously improving and evolving the application of technologies to meet todays and tomorrow’s challenges.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Prioritizes analytical projects based on business value and technological readiness</p><p>· Performs large-scale experimentation and build data-driven models to answer business questions</p><p>· Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence</p><p>· Evangelizes best practices to analytics and products teams</p><p>· Acts as the go-to resource for machine learning across a range of business needs</p><p>· Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring</p><p>· Provides leadership, coaching, and mentoring to team members and develops the team to work with all areas of the organization</p><p>· Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs</p><p>· Anticipates and analyzes trends in technology while assessing the emerging technologies impact(s)</p>
We are looking for a Senior Data Architect to join our team on a long-term contract basis in Marysville, Ohio. In this role, you will design and maintain advanced data solutions to support analytics and business intelligence initiatives within the automotive industry. This position offers an exciting opportunity to work with cutting-edge technologies and contribute to the optimization of data systems and processes.<br><br>Responsibilities:<br>• Design and implement scalable data pipelines using cloud-based services such as Glue, S3, and Redshift.<br>• Build and orchestrate workflows with tools like Step Functions, EventBridge, and Lambda.<br>• Develop and integrate CI/CD pipelines using GitHub and other DevOps tools for automated deployments.<br>• Create conceptual, logical, and physical data models tailored for both operational and analytical systems.<br>• Optimize database queries, normalize datasets, and apply performance tuning strategies.<br>• Utilize Python and PySpark for data transformation, automation, and engineering tasks.<br>• Monitor and assess pipeline performance using tools like CloudWatch and Glue job logs.<br>• Troubleshoot and resolve issues related to data quality, system performance, and compliance.<br>• Implement metadata management practices and audit trails to ensure adherence to governance standards.<br>• Collaborate with cross-functional teams and stakeholders to align data architecture with business goals.
<p>Role Overview</p><p>This senior‑level role is responsible for leading business system application process improvements and system enhancements on a modern ServiceNow platform. You will serve as a subject matter expert across Employee Service Management applications and partner with stakeholders to support service requests, defects, and change initiatives.</p><p> </p><p>Key Responsibilities</p><ul><li>Serve as an SME for ServiceNow Employee Service Management (ESM) applications, including: </li><li>HR Service Delivery (HRSD)</li><li>Employee Relations</li><li>Employee Center</li><li>Journey Management</li><li>Knowledge Management</li><li>HR Integrations</li><li>Lead configuration efforts and continuous improvements across ServiceNow modules</li><li>Develop and maintain ServiceNow reports and dashboards</li><li>Support service requests, defect resolution, and change requests</li><li>Partner with business and technical teams to drive scalable, efficient solutions</li></ul><p><br></p>
We are looking for a skilled Data Analyst / Engineer to join our team in Marysville, Ohio. In this long-term contract position, you will play a vital role in analyzing complex data sets, developing solutions, and ensuring data security and quality. This onsite role requires working four days a week on location, collaborating with cross-functional teams to drive insightful decision-making.<br><br>Responsibilities:<br>• Analyze and interpret complex data sets to uncover meaningful insights and trends.<br>• Design and maintain efficient data pipelines utilizing AWS services such as S3, Redshift, and Lambda.<br>• Collaborate with developers, designers, and business stakeholders to gather requirements and deliver tailored data solutions.<br>• Present findings and recommendations effectively to both technical and non-technical audiences.<br>• Lead data-related projects, ensuring accurate and timely delivery of tasks.<br>• Implement data governance standards and best practices to maintain data integrity and security.<br>• Create and manage data models, dashboards, and reports to visualize performance metrics.<br>• Troubleshoot data issues and provide technical support to resolve challenges.<br>• Stay informed on emerging data technologies to improve processes and outcomes.
