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Top Senior Level Data & Analytics Jobs in Wilmington, NC
The Mail Fraud Investigative Support Analyst provides analytical and research support for criminal investigations, particularly related to mail fraud and financial crimes. Responsibilities include reviewing business records, conducting research, preparing reports, and presenting findings clearly to various audiences. The role also involves assisting Postal Inspectors and ensuring timely completion of investigative tasks.
The Intelligence/Targeting Analyst will support criminal programs by gathering and assessing intelligence, analyzing data for patterns, reporting findings, and aiding investigations into narcotics and firearms trafficking. The role requires the use of various technology tools to identify high-value targets and document results.
As a Data Scientist III at Availity, you will leverage statistical techniques and machine learning to solve business problems using large data sets. Collaborating with product management and stakeholders, you'll design analytical solutions, write production-quality code, ensure quality through testing, and mentor junior associates. Your role includes developing data science prototypes, automating solutions, and utilizing cloud-native architecture.
The Sr. SaaS Configuration Specialist will lead the design and implementation of technical systems for energy efficiency, conduct analysis of business drivers, mentor junior analysts, and manage the implementation of software solutions. This role requires strong communication and project management skills, along with expertise in energy data solutions.
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As a Lead Data Engineer, you will focus on delivering Demyst's data platform, leading a team of engineers, and overseeing data pipeline development. Responsibilities include coding, mentoring, managing deployment projects, and advising clients on data practices.
The Data Management Squad Lead will spearhead the company's data management strategy, lead a team of data engineers and analysts, define frameworks for delivery, and communicate effectively with stakeholders. Responsibilities include strategic leadership, team development, technical delivery, and storytelling about data practices and solutions.
As the Lead Data Scientist, you will establish a data science practice, leveraging data for strategic business decisions, influencing product design and marketing, and driving optimal business outcomes through advanced analytics and machine learning. You will work cross-functionally with various teams to implement data-driven solutions and communicate insights effectively.
The Staff LLM Data Scientist will design and fine-tune large language models for tasks like Q&A and summarization, build advanced retrieval augmented generation pipelines, implement model evaluation frameworks, and deploy models, collaborating with product and engineering teams to create impactful generative AI solutions within the investment space.
The Client Data Exchange Manager at Abarca leads data-related tasks, ensuring technical needs of clients are met for smooth data exchange. Responsibilities include consulting clients, troubleshooting, documenting requirements, overseeing compliance with SLAs, and coordinating with teams on technical requests.
The Data Architect is responsible for designing and overseeing enterprise-wide data architecture, ensuring data quality, integrity, and management. They collaborate with teams to develop data solutions, oversee data processes, implement methodologies, and support enterprise data projects to drive organizational goals.
The Senior Database Administrator at Harmonia Holdings Group will manage the installation, customization, and maintenance of the ADABAS environment, ensuring optimal performance and security. Responsibilities include disaster recovery planning, daily support of large ADABAS instances, and collaborating with development teams for performance tuning.
The Data Architect will design and implement scalable cloud solutions focused on data ETL processes, support data migration, perform data modeling and analysis, and ensure effective data governance while collaborating with various stakeholders.
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