Top Senior Level Data & Analytics Jobs in Wilmington, NC

The Data Scientist Senior is responsible for developing methods and systems to analyze complex data sources for business insights. Duties include leading data automation projects, building statistical and machine-learning models, and refining them based on performance metrics. The role involves collaboration with stakeholders, mentoring less experienced staff, and ensuring compliance with risk management standards.

As a Data Architect, you will lead data architecture initiatives, design database systems, set reference architecture, and ensure compliance with development standards. Your role includes collaborating with stakeholders to create effective data solutions, mapping data, and managing data governance for quality and scalability.

The Senior Applied Data Scientist at Abnormal Security will focus on building and enhancing detection systems for email attacks using machine learning. Responsibilities include analyzing false negatives, training models, feature engineering, and improving system efficacy. The role demands a deep understanding of data analysis and the ability to collaborate with other teams to productionize insights.

The Carbon Forest Scientist will conduct research on forest carbon dynamics, develop projects for enhancing carbon storage, analyze data with statistical and GIS tools, advocate for forest conservation strategies, and engage with stakeholders in carbon markets. The role requires leadership in field data collection and effective communication of research findings.

The Senior Analyst will support fundraising strategies through data analysis, KPI tracking, revenue forecasting, and A/B testing. Responsibilities include data transformation, analysis, peer reviewing teammates' work, and providing actionable insights to support fundraising efforts.

The Senior Data Engineer at DICK’S Sporting Goods is responsible for designing and supporting database schemas, building ETL processes, analyzing business requirements, collaborating with teams to deliver quality data, and enhancing data pipelines for analytics. The role also involves troubleshooting, job monitoring, and participation in code reviews to advance data engineering practices.

The Head of International Credit and Data Science at Empower will lead the Credit and Data Science functions for international markets, develop risk models, and collaborate cross-functionally to enhance financial products. This role requires mentorship of analysts and adapting solutions to diverse market needs.