Top Remote Senior Level Data & Analytics Jobs in Rochester, NY

The Principal Data Architect will lead the implementation of data practices leveraging AWS technologies, integrating Machine Learning and AI capabilities, and ensuring robust data architectures. Responsibilities include designing scalable data solutions, developing data streaming architectures, guiding data engineering teams, and collaborating with cross-functional departments to align data strategies with organizational goals.

Lead the design and development of robust data architectures that support scalable, secure, and efficient data pipelines. Drive innovation, mentor team members, ensure data quality and resilience, and collaborate with cross-functional teams to deliver impactful data solutions.

The Lead Database Engineer will design, implement, and maintain critical PostgreSQL database systems for a 24x7 SaaS platform, ensure database operations support business needs, mentor team members, and comply with HIPAA policies.

The Staff Engineer will lead the design and development of GenAI-powered product capabilities, driving technical delivery through the feature lifecycle. Responsibilities include identifying opportunities for AI/ML applications, collaborating across teams, owning service uptime, and developing automation and microservices.

The Senior Data and Insights Analyst in Legal will analyze legal spend data to provide actionable insights for decision-making, support risk management, and enhance operational efficiency in the legal department. Responsibilities include collaborating with various legal and cross-functional teams to interpret large datasets, track trends, and present findings effectively to optimize processes and drive cost reduction.

Lead the design and development of data architecture supporting data modeling, integration, and delivery standards. Collaborate with cross-functional teams to optimize data lakes, enhance data strategy, and ensure robust analytics usage.

The Senior Data Science Consultant at DesignMind will lead client engagements, build machine learning systems, and mentor teams while communicating with stakeholders. Responsibilities include data modeling, statistical analysis, and delivering insights through documentation and presentations.