Top Remote Analytics Jobs in Buffalo, NY

The job involves analyzing metallic and reinforced concrete structures for SMR-300 plants, utilizing various engineering methods and software. Responsibilities include performing static and dynamic analyses, developing designs based on requirements, preparing design deliverables, and ensuring documentation meets engineering and licensing standards.

The Sr. Credit Risk Analyst will develop and optimize credit strategies using advanced analytics, machine learning, and statistical models to manage and reduce credit risk. Responsibilities include designing A/B tests, conducting loss forecasting, collaborating with various teams, analyzing portfolio performance, and ensuring compliance with regulations.

The Senior Provisioner manages the service delivery lifecycle for Telecom Voice and Data services. Responsibilities include responding to service requests, initiating and managing telecom orders, coordinating with various stakeholders, participating in status calls, and ensuring accurate system updates. The role requires strong organizational and communication skills for effective interaction with clients and telecom carriers.

As a Data Scientist II at Valo Health, you will work within a team to develop computational models and machine learning tools to enhance drug discovery processes. Responsibilities include data capture, analysis, visualization, and experimental design, along with the development of predictive models related to tissue engineering for drug candidates.

The Splunk/Cribl Architect will lead the design and implementation of an enterprise data analytics suite for federal customers, focusing on Splunk and Cribl technologies. Responsibilities include architecting hybrid cloud/on-prem solutions, maintaining and administering systems, and collaborating with SOC teams to drive security content requirements.

The Manager in Marketing Analytics & Data Science will lead analytics projects, manage client relationships at an executive level, and guide a team of data scientists. Responsibilities include strategic consulting for clients, team development, and contributing to the company's growth initiatives through leadership and project management.

The BI Data Engineer will build data pipelines and Python-based ETL tools, develop and optimize data models, generate end-to-end reporting solutions, and collaborate with business leaders to define key metrics and reporting requirements, aiming to improve data usage across the company.