Top Data & Analytics Jobs in Buffalo, NY
The Senior Data Scientist will develop machine learning algorithms and advanced statistical models to analyze data, optimizing advertising campaign measures and enhancing planning accuracy. The role involves collaborating with engineering teams, validating data integrity, and communicating analytical results to stakeholders.
The Senior Data Engineer at OneSignal will design, build, and maintain data systems to ensure reliable data access across various business functions including sales, marketing, and operations. Responsibilities include connecting data sources, improving data flows, creating ETLs, and implementing data validation processes.
The Data Cataloging Specialist will identify and centralize data assets, breaking down siloes across the company. Responsibilities include shaping data platforms, collaborating with teams to define metadata standards, managing data collections, and presenting data insights through reports and dashboards.
As a Senior Data Scientist, you will define marketing strategies, set KPIs, improve marketing measurement, analyze data trends, and create lead scoring models to enhance user acquisition and retention efforts.
As Data Science Team Lead at Relocity, you will oversee the development of AI-powered solutions for a global mobility platform, leading a team of Data Scientists while collaborating with Data Engineers to design and implement machine learning models and optimize data pipelines. You'll communicate insights to stakeholders and drive innovation to enhance user experience.
As a CX Operations Data Analyst III, you will utilize data to answer business questions, partner with various departments for optimization, conduct analyses to enhance customer journeys, and collaborate with Data Engineering to integrate data channels. Your role will focus on driving data-driven decisions and improving the customer experience.
As a Senior Data Scientist at RevenueCat, you will create data models, dashboards, and reports to help developers make informed decisions. You'll collaborate with product and data teams to enhance data features, build predictive models, and contribute to the data tech stack, ultimately shipping features that drive customer value.
The Sr. Data Engineer will manage and optimize vector databases, lead data infrastructure migrations, ensure reliable performance and scalability of data systems, implement cloud solutions, and apply SRE practices to enhance system availability. Collaboration with cross-functional teams and troubleshooting issues related to data infrastructure is also key.
As an Analytics Engineer at Givebutter, you will design and implement a data model for analytics, build and manage data pipelines, integrate various data platforms, and ensure data governance. Your role requires collaboration with stakeholders to meet short and medium-term data needs while maintaining high data quality and integrity.
The Lead Data Engineer will manage and mentor a data engineering team to deliver data solutions for clients. Responsibilities include overseeing data pipeline development, ensuring client integrations, applying data best practices, and managing project timelines while contributing hands-on to technical decision-making and code reviews.
All Filters
No Results
No Results
