Top Remote Data Science Jobs in Buffalo, NY

As a Sr. Data Scientist, you will analyze large complex datasets, build analysis pipelines, develop machine learning models, and collaborate with engineers to create solutions for ViFiVE’s digital health products, all while presenting findings to stakeholders.

The Tax Data Specialist manages tax profile data for OSV customers, processes update requests, captures data from taxing agencies, and ensures accuracy in data entry across systems. The role involves responding to customer inquiries and maintaining customer information while meeting quality and productivity metrics.

The Principal AI Research Scientist will drive innovative AI research and product vision, manage R&D projects, and lead proposal writing. Responsibilities include conducting research in machine learning, collaborating with teams, developing algorithms for multi-modal data, and ensuring product relevance for a growing customer base.

As a Data Integration Specialist, you will work with clients to onboard their data onto the Enterra solutions, validating and improving data architectures, mapping data requirements, and testing client-specific solutions. You will also communicate complex data relationships and identify opportunities for enhancements in Enterra's offerings.

The Senior Consultant in Data & Analytics leads clients on their analytics journey, collaborating on strategic visions and implementing initiatives. Responsibilities include analyzing data patterns, creating predictive models, generating insights through visual analytics, conducting gap analyses, and designing data flows.

The Staff Data Scientist will develop statistical and machine learning models to enhance the operations platform at Honor. Responsibilities include collaborating with teams, designing predictive models, integrating ML into applications, and mentoring team members throughout the project lifecycle.

In this role, you will lead the AI and data strategy for 1848 Ventures, creating innovative solutions and overseeing the development and deployment of AI applications. You'll collaborate with cross-functional teams and build a high-performing AI team, ensuring data governance and ethical practices while driving business value through advanced data strategies and machine learning models.