Top Data & Analytics Jobs in Raleigh-Durham, NC
The Senior Data Scientist NLP and GenAI role involves designing and implementing NLP algorithms, language models, and collaborating with cross-functional teams to address business challenges. Responsibilities include leading analytics projects, optimizing business processes, and ensuring the ethical use of NLP technologies.
The AI Cloud Data Engineer at MetLife is responsible for building big data platforms and data services using cutting-edge cloud technologies to enable businesses in generating insights and value for customers. Key responsibilities include developing ELT processes, reusable frameworks, and collaborating with global teams for project delivery and improvements.
The AI Senior Lead Business Systems Analyst at MetLife Data & Analytics is responsible for translating business problems into analytical solutions, collaborating with stakeholders, developing technical designs, and leading the team in project delivery. Key responsibilities include working with data scientists, identifying customer friction points, developing conversational flows, and incorporating new features to support corporate initiatives.
A Manager position in the Products and Technology department at PwC, responsible for developing skills, resolving issues, coaching team members, analyzing complex ideas, and using data to inform decisions.
Manager role in Products and Technology at PwC focusing on test data management solutions, quality engineering, and technical TDM architecture. Responsibilities include developing new skills, resolving issues, coaching team members, analyzing complex ideas, using data for decision-making, and managing global trends.
As an Associate Research Scientist, you will support the development and validation of new real-world variables and datasets using various curation approaches including AI/ML. You will work collaboratively with stakeholders to inform variable development and quality for real-world evidence use cases.
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A Senior Consultant/Engineer with deep technical expertise in analytics and data management. Responsible for delivering complex solutions, gathering client requirements, managing projects, and building client relationships. Requires advanced experience in analytics, data management, and data strategy, as well as strong SQL skills. Excellent communication and problem-solving skills are essential.
Q2 is seeking a Python Data Migration Engineer to convert client's online banking data onto the Q2 platform using Python/SQL framework. Responsibilities include constructing Python frameworks, troubleshooting data migration issues, documenting modifications, and establishing relationships with partner teams. Requires 5+ years of Python and SQL experience, previous data migration experience, attention to detail, and flexibility in working hours. Preferred experience in enterprise/mid-sized software delivery and understanding of remote tools and networking.
Qualtrics is looking for a full-time Proposal Senior Analyst (Content Manager) with a Master’s Degree in Library & Information Sciences and 2-3 years of content management experience in the Tech industry, to support building value propositions with Sales. Responsibilities include developing winning proposals, coordinating RFP responses, and synthesizing technical information for the user-base.
Develop analytical solutions to establish the next level of analytics through building data models utilizing visualization tools. Key purpose is to ensure conversion of data into various insights for decision-making.
Manage AI capabilities in pharmaceutical discovery, work with clients, lead data scientists, develop AI offerings, and present thought leadership in industry conferences and journals.
Analyzing pricing data, conducting quantitative and qualitative analysis, generating pricing reports, collaborating with global teams, and aligning pricing strategies with market landscape.
Lead a team of Data Scientists and Machine Learning Engineers to create AI models that drive company growth. Define strategies, identify use cases, solicit requirements, build accurate models, and teach business teams.
Deliver effective Cloud Analytics and reporting, create financial metrics, establish KPIs, execute analytics projects, ensure data integrity, identify business opportunities, define KPIs, implement operational dashboards, generate insights, solve complex problems, engage with industry best practices.
Top Companies in Raleigh-Durham, NC Hiring Data + Analytics Roles
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