Top Hybrid Senior Level Data & Analytics Jobs in New York City, NY
The Customer Engagement Analyst is responsible for analyzing data to identify trends, problems, and improvement opportunities in customer experience processes. They work with various teams to ensure high installation completion rates and are tasked with monitoring KPIs and recommending standardization across sales processes.
The Senior Research Scientist at Kensho will drive innovation in AI solutions, focusing on developing Large Language Models, long-context question-answering, complex reasoning, and improving alignment and tokenization techniques. The role emphasizes collaboration with a diverse team, ongoing R&D projects, and interaction with academia to advance machine learning technologies.
As a Senior Business Systems Analyst, you will manage and optimize SaaS applications, ensure compliance and governance, support vendor selection, and identify cost-saving opportunities while collaborating across teams to improve workflows and implement emerging technologies.
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Lead analytics and data initiatives supporting Growth teams, optimizing strategies across marketing channels, conducting CRM data analyses, managing data pipelines, and driving growth initiatives. Influence customer acquisition and retention through actionable insights and in-depth analyses.
As a Lead Data Scientist, you will develop and optimize models to identify credit risk, predict customer churn, and improve retention and marketing spend efficiency. You will leverage rich data to enhance financial services for underserved customers and collaborate closely with Product and Engineering teams.
Lead the design, development, and deployment of machine learning models and algorithms in the fintech domain. Analyze datasets to extract insights, optimize performance, and implement scalable ML pipelines using Google Cloud Platform, particularly VertexAI and Google Dataflow. Collaborate with engineering teams for model integration and contribute to best practices in machine learning.
Lead the development and implementation of a Data Distribution Platform, collaborating with engineering teams to deliver robust solutions while ensuring adherence to enterprise standards and technology strategy. Foster a culture of innovation and continuous improvement across the team.
As an AI Research Scientist, you will lead innovative research in machine learning and data science, conducting large-scale experiments, developing advanced deep learning models, and publishing findings. You will collaborate with teams to refine methodologies and contribute to evolving research practices, applying the latest theoretical advancements to enhance technologies and products.
The Senior Data Engineer will architect and maintain robust data systems, ensure data quality and reliability, and collaborate with cross-functional teams to drive data-driven decision making. Key responsibilities include designing data pipelines, optimizing ETL processes, and applying machine learning models to enhance product offerings.
As a Senior Big Data DevOps Engineer, you will enhance Big Data infrastructure efficiency, coordinate cross-team initiatives, lead architectural efforts, ensure system reliability, build operational tools, implement monitoring, and provide on-call production support.
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