Top Hybrid Data & Analytics Jobs in New York City, NY
As a Data Scientist III at Cedar, you will leverage AI to develop features that enhance patient billing clarity and streamline healthcare workflows. Responsibilities include creating curated datasets, designing AI solutions, and collaborating across teams to drive business value through data insights.
The Data Scientist III (ML Engineering) will develop and optimize machine learning solutions to enhance and differentiate Cedar’s healthcare payment platform. Responsibilities include data analysis, feature engineering, and model performance monitoring, while collaborating with other teams to communicate insights and improve patient engagement.
The Senior Information Security Risk Analyst will lead the enhancement of the Information Security Risk Management program, manage comprehensive cyber assessments, provide guidance on remediation for security gaps, prepare reports for leadership, ensure compliance with security policies, mentor junior team members, and oversee the implementation of a Governance, Risk, and Compliance solution.
The Machine Learning Engineer will create models to enhance user experience and drive value for advertisers, review code quality, and build scalable products while addressing technical tradeoffs and collaborating effectively with partners.
As a Machine Learning Engineer at Snap Inc, you'll create models to enhance user and advertiser value, evaluate technical tradeoffs, conduct code reviews, and develop scalable products while prioritizing quality and collaboration.
The Billing Operations Analyst will ensure timely and accurate invoicing for Snapchat, collaborating with various teams to improve billing processes. Responsibilities include handling accounts receivable tasks, performing monthly reconciliations, supporting collections, and assisting with internal audits while maintaining a focus on department goals.
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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.
The role involves leading R&D efforts for the Clif Bar brand by overseeing new product development, coordinating trials, and managing specifications. Responsibilities include analyzing consumer insights, mentoring team members, and collaborating with cross-functional teams to enhance product quality and innovation.
As a Senior Analyst in Sales Operations, you will partner with the sales leadership team to shape strategies, manage pipeline processes, develop reporting frameworks, coordinate with vendors, maintain data hygiene, and optimize processes to enhance sales productivity and revenue growth.
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.
As a Data Analytics Engineer, you will design and implement features and services for Electronic Trading. Your responsibilities include building data pipelines to manage large datasets for client analytics and regulatory reporting, mentoring teammates, and evolving technical standards within a collaborative team.
As a Data Analyst focused on patient experience, you will leverage data to guide strategy, conduct analyses, measure product performance, and build data availability solutions. Your role will involve collaboration across various teams and advocating for improved member experiences based on data insights.
The Operations & Strategy Analyst will be responsible for analyzing sales and CS data, building dashboards and reports, and providing actionable recommendations to key stakeholders. The role requires strong analytical and communication skills.
Top hybrid Companies in New York City, NY Hiring Data + Analytics Roles
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