Perform data discovery and requirements of new data ingestions, conduct in depth analysis for source to target mapping, develop data dictionaries, and perform data testing and validation. • Minimum 5 years of data analysis, requirements definition, and data warehouse build experience.The right candidate will thrive in a cross-functional environment, bringing strong analytical skills, attention to detail, and excellent communication to drive data quality and governance initiatives across the organization. In this role, you will perform advanced data analysis, profiling, and cross-source validation to identify anomalies, support data quality rules and controls, and drive issue documentation and escalation. p>blocks--linked-image#click keydown.enter->blocks--linked-image#click" data-controller="" data-open-newtab="false" id="page_block_c450c5f005504fd48a5539c122784277" style="background-image: linear-gradient(rgba(0, 0, 0, 0.5),rgba(0, 0, 0, 0.5)), url("https://d25wby5c7p9100.cloudfront.net/public/uploads/599e9569ce634cc6f690338b21af637e/images/files/b11c644db1e4b7c02146bb405507b1a2/large/mountainview.jpg?1674243607");background-position: 50% 50%" title="Virginia Mountain View">. Hiring Range: $42418.00 to $68929.00 Full Time or Part Time: Full_Time Additional Detail Description for Candidates: Perform a combination of equipment operations, preventive maintenance, and manual labor tasks related to roadway maintenance. p>Are you interested in a position that offers the unique opportunity of working with a team that receives national recognition for having one of the best Workers' Compensation EDI Programs around?. The Virginia Workers" Compensation Commission is seeking an EDI Technical Specialist to support Virginia"s workers" compensation system through data analysis, technical troubleshooting, and customer support with the additional bonus of gaining national recognition for their work. The EDI Quality Assurance (EDI QA) team helps ensure the accuracy and integrity of workers" compensation claims data reported to the Virginia Workers" Compensation Commission. p>Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: • A Bachelors Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics • A Masters Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. p>Preferred Qualifications: - Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM). You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts.
Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Richmond, Virginia30+ days ago ul>Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Advanced experience working with relational and non-relational databases, dimensional models, advanced SQL queries, stored procedures and functions, data warehouses, ETL processes, and database management systems. • Intermediate working knowledge of Azure Logic Apps, scripting languages like ARM, Bicep DSL, Python, PowerShell or other custom solutions. |