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Top Senior Level Data & Analytics Jobs in Wilmington, NC
As a Senior Machine Learning Engineer, you will design and engineer ML systems for various industries, promote technical thought leadership within the data science team, and work across different ML approaches. Responsibilities include collaborating with stakeholders, addressing technical challenges, and deploying production ML solutions in a cloud environment.
As a Senior Data Analyst at Privacy.com, you will own analytics for the consumer business, produce insights for stakeholders, develop data models, partner with customer experience teams, and design A/B tests to enhance user experience.
As a Senior Analytics Engineer at Amplify, you'll create analytical models to support educational products and provide insights to school administrators and internal business partners. You'll collaborate with data scientists and engineers to ensure data accuracy and security while building cohesive data marts from various systems. Additionally, you will participate in agile processes, mentoring, and continuous learning within a multi-functional team.
The Sr. Analyst Relations Manager will develop and enhance the analyst relations program at Databricks, building and nurturing relationships with key industry analysts. Responsibilities include managing analyst requests, coordinating briefings, staying updated on industry trends, and partnering with teams to improve market visibility.
The Data Scientist will develop and automate key metrics to support business objectives, source and clean data, perform data analysis using statistical and machine learning techniques, create visualizations, and collaborate with teams to provide analytical support. They need to document processes and stay updated on data science trends.
The SVP of Data Solutions will provide strategic leadership for the company's data solution portfolio, focusing on healthcare economics and commercial analytics. Responsibilities include managing day-to-day operations, overseeing the expansion of data functions, collaborating with executive leadership, maintaining compliance, and ensuring optimal performance and communication with stakeholders.
As Head of Data Feeds, you will lead the Product Management team, prioritize customer needs for alternative data feeds, and oversee product development and delivery. Collaborate with stakeholders across multiple departments to enhance investment processes and ensure team operations align with strategic goals.
The Application Systems Analyst aids businesses in achieving their goals by evaluating, designing, and developing full stack application systems. Responsibilities include developing applications on FileMaker, consulting with management, creating application specifications, overseeing implementation, diagnosing errors, and managing reported incidents.
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 will perform deep data analysis on false positives and negatives, provide insights for improving detection efficacy, train models for specialized attacks, recommend new feature groups, and collaborate on productionizing detection signals. The role involves monitoring and enhancing the performance of a message detection system.
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