Top Hybrid Data & Analytics Jobs in New York City, NY
As a Senior Data Scientist, you will lead analytics projects, analyze user behavior, develop KPIs, conduct A/B testing, implement statistical models and machine learning algorithms, and collaborate with cross-functional teams to drive business impact and growth.
The People Analytics Analyst will enhance data-informed decision-making regarding workforce and business strategies, focusing on analytical reporting and the use of an HRIS system to improve People Analytics processes and communications within the organization.
The Principal Data Scientist is responsible for building data acquisition pipelines, utilizing various R frameworks for data processing and analysis, implementing data preprocessing techniques, executing machine learning models, generating visualizations, and deploying scalable models within the company’s infrastructure.
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As a Senior Research Scientist at Kensho, you will develop innovative solutions in Machine Learning and NLP, focusing on complex tasks like long-context QA and document extraction. Collaborate with a team to enhance existing models, create evaluation benchmarks, and engage in academic partnerships, all while utilizing advanced computational resources.
The Analyst role in Consulting Services focuses on client engagement for Marketing Solutions, leveraging analytics and quantitative analysis to provide insights. Responsibilities include conducting data investigations, visualizing findings, and helping clients understand data relations to business objectives.
The Sr. Data Engineer will design and build scalable data pipelines across various sources to support data-driven decisions and generative AI initiatives. Responsibilities include collaborating with cross-functional teams, implementing data engineering principles, and optimizing performance and security of data applications.
As Director of AIDA R&D AI & Data Solutions Engineering at Pfizer, you will lead the data solutions engineering team, drive the development of innovative R&D data solutions, and oversee complex projects. You'll manage resources, ensure data security and compliance, and establish best practices in collaboration with stakeholders to optimize data storage and processing.
The Emerging Risk Analyst will identify and assess emerging risks impacting the organization by analyzing credit-related weaknesses using data mining, creating monitoring dashboards, and collaborating with stakeholders. This role involves building data pipelines, developing dashboards, and recommending improvements based on credit challenges and monitoring metrics.
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The Senior Analyst, Marketing Science & Analytics will analyze and optimize marketing investments, evaluate campaign effectiveness, develop measurement strategies, and collaborate with various teams to ensure proper measurement of marketing spend. The role involves reporting on marketing performance and promoting experimentation to identify growth opportunities.
As a Senior Data Engineer at Hinge, you'll design and optimize data pipelines, support foundational product services, and collaborate with teams to drive data-driven decisions. You'll enhance the Data Engineering stack, advocate best practices, and maintain analytics data for insights and strategies while ensuring smooth operations through on-call participation.
Top hybrid Companies in New York City, NY Hiring Data + Analytics Roles
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