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

As a Principal Data Scientist, you will develop machine learning models for hotel demand and pricing prediction, optimize revenue through pricing strategies, and lead technical projects. Collaboration with product and engineering teams is key to integrating solutions and presenting findings to management.

The role involves researching and developing quantitative trading strategies within the energy sector, performing trading performance analytics, and influencing the product direction with data-driven insights. The analyst will collaborate with teams to shape tools and processes that improve trading outcomes, while mentoring junior analysts and fostering a culture of experimentation.

As a Staff Data Scientist at Enigma, you will leverage machine learning and statistical methods to enhance data accuracy and usability. You will work within cross-functional teams, develop innovative solutions, validate results against real-world data, and contribute to critical product developments that impact small businesses' access to financial services.

The Senior Revenue Operations Analyst will lead analytics projects that inform decision-making across Go-To-Market functions. Responsibilities include coordinating cross-department initiatives, improving analytics processes, ensuring data integrity, and conducting analyses to support revenue operations.

As a Lead Data Engineer at Lumos, you will architect and maintain data pipelines to support AI products and analytics, focusing on reliability, scalability, and integration of various data sources to drive business insights.

The Senior Data Scientist will analyze resident health and care data to provide insights and feedback, design and maintain algorithms, integrate new datasets, create visualizations, and collaborate with various teams to address business needs using data.

The Senior Data Developer will develop and maintain data solutions using Python and Azure Databricks, focusing on high-quality coding practices. Responsibilities include managing data infrastructure, cloud services, and troubleshooting within SCRUM/Kanban workflows while applying a DevOps mindset.