Top Remote Data & Analytics Jobs in Pittsburgh, PA

Support the Data Migrations Profession Services Teams, engage in complex debugging and remediation, build solutions, automate issue detection, contribute to migration improvements, participate in On-Call schedule rotation, write data defect reports, participate in Code Reviews and Lessons Learned sessions.

As a FedRamp Continuous Monitoring Analyst, you will maintain and update FedRAMP Continuous Monitoring documentation, coordinate with various stakeholders to achieve business objectives, and conduct monitoring activities to assess security controls. You'll also manage vulnerabilities, assist in security assessments, and provide regular updates on compliance status to management.

The Sr. Oracle Database Administrator is responsible for maintaining, securing, and optimizing Oracle databases for the Asset Suite 9.6 system. Key tasks include implementing backup strategies, ensuring database availability, performing routine maintenance, and conducting audits. The role involves collaboration with system administrators to uphold database integrity and security.

Design and implement enterprise-wide data strategies, manage data engineering assets, collaborate with cross-functional teams, ensure data integrity and security, develop data models, and lead data governance initiatives.

Seeking a Security Analyst to oversee cybersecurity operations, drive security improvements, and educate the organization on best practices. Responsibilities include monitoring security systems, conducting training sessions, and collaborating with the engineering team. Preferred experience includes 3+ years in cybersecurity, cloud platform experience, and knowledge of security technologies and best practices.

As a Data Scientist focusing on AI at Candidly, you will work on designing, developing, and deploying AI-driven features that enhance our financial wellness platform. You will partner closely with the product and engineering teams to create solutions that leverage natural language processing (NLP) to optimize the user experience, improve engagement, and improve operational efficiencies. Responsibilities include product development, NLP, data strategy, model evaluation, research, stakeholder collaboration, and data storytelling.

The Staff LLM Data Scientist will design and fine-tune large language models for various applications, build advanced Retrieval Augmented Generation (RAG) pipelines, and implement evaluation frameworks for model performance. They will deploy models ensuring low latency and reliability, while collaborating with product and engineering teams.