Top Senior Level Data & Analytics Jobs in Wilmington, NC

The Staff Data Engineer will lead data strategy and infrastructure at Dutchie, developing scalable data architectures and pipelines. Responsibilities include optimizing ETL/ELT processes, cloud-native solutions in AWS, and establishing data governance practices. This role requires mentorship and collaboration to enhance team capabilities and drive innovation.

The Staff Data Scientist will design, build, and deploy advanced statistical and machine learning models to drive business growth and optimize product offerings. This role involves collaborating with cross-functional teams and utilizing large datasets to extract actionable insights. Responsibilities include conducting A/B testing, model validation, and communicating technical findings to stakeholders.

As a Staff Data Analyst, you will convert data into actionable insights to drive key business decisions and product strategies. Responsibilities include establishing key metrics, building visualizations, automating reporting systems, and collaborating with stakeholders to optimize growth and operational efficiency through data analysis.

The Senior Market & Competitive Intelligence Analyst will analyze market trends and competitor strategies in the data center industry to support strategic decision-making and corporate development. Responsibilities include data collection, analysis, forecasting, and reporting insights to senior leadership to enhance competitive positioning and market expansion.

The Senior Analyst will support the TMTT Sales Operations team by managing and enhancing case scheduling processes. This role involves collaboration with sales teams and stakeholders to optimize resource allocation, responding to scheduling inquiries, and developing KPI reports and dashboards. The position requires at least 5 years of experience in sales operations or project management within the medical device industry.

As a Principal MLOps Engineer, you will design and optimize the ML inference platform, lead the development of high-performance systems for diverse models, and collaborate with teams to align engineering solutions with business needs. You will also mentor your engineering team and tackle complex challenges efficiently.

The Senior Data Scientist will develop and deploy lead scoring and recommendation models to enhance sales efficiency in the Consumer Solutions division. Responsibilities include collaborating with stakeholders, measuring model performance, mentoring team members, and guiding Analytics Engineers on data modeling for machine learning systems.