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Top Hybrid Senior Level Data & Analytics Jobs in New York City, NY
As a Lead Machine Learning Engineer, you will design and implement ML solutions, optimizing existing services, writing code, and managing project milestones while collaborating with engineering and product teams. This role requires leveraging ML techniques to enhance user experiences on Disney's streaming platforms.
As a Senior Data Engineer, you will design and build data pipelines related to Identity, Account, Profile, and Device data, working across teams to define technical requirements, implement ETL strategies, and enhance data solutions for streaming platforms like Disney+.
As a Senior Machine Learning Engineer, you will develop and optimize recommendation algorithms and personalization techniques for Disney's streaming services. This role involves collaboration with cross-functional teams to achieve strategic product goals, management of algorithmic work, and maintenance of production-level systems.
The role involves translating complex financial and product data into insights for executives, establishing performance monitoring systems, conducting analyses, and providing data-driven recommendations for strategic planning. It requires collaboration with the Domains Leadership team and cross-functional teams to drive business growth and optimization.
The Senior Distressed Credit Analyst will produce detailed reports on distressed companies, support the growth of the distressed analyst team, cultivate client relationships, and monitor markets using technology to provide comprehensive coverage of the distressed market.
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The analyst will source and review investment opportunities, construct financial models for decision making, and analyze credit agreements. The role involves collaboration with team members to drive investment risk decisions and support business development initiatives.
As an Executive Director - Data Publishing at JPMorgan Chase, you will define and implement standards for data sharing, advocate for data publishing every level of the organization, and mentor your team. Your role requires collaboration with various departments to understand data management needs while guiding the adoption of new data standards and processes.
The Director, Migraine RWE Scientist leads the generation of real-world evidence to support drug development and market strategy, collaborating across teams to develop insights and protocols. Responsibilities include mentorship, project oversight, and representing Pfizer in industry events.
As a Scientist in the GLP laboratory, you will perform qualitative and quantitative analyses of compounds, conduct sample testing, and execute assay verifications in support of vaccine development. You will document experiments, analyze data, solve technical issues, and mentor colleagues while maintaining GLP compliance.
The Principal Scientist in Bacterial Immunoassays will lead and support early-stage bacterial vaccine programs through assay and immunology development, focusing on designing experiments, analyzing data, and collaborating with multifunctional teams. The role involves hands-on research, project leadership, and supervision of junior researchers in a laboratory setting.
The Compliance System Analyst ensures compliance with order entry processes. Responsibilities include design and maintenance of databases, creating automation for databases, analyzing data for compliance, and recommending process improvements. The role requires excellent time management and problem-solving skills to handle multiple projects and meet deadlines.
As a Principal Data Engineer, you will lead the architecture and development of scalable data pipelines, collaborate with cross-functional teams to integrate data into business strategies, mentor junior engineers, and ensure compliance with data governance and quality standards.
The Lead Analyst for HR Enablement will work with various departments to improve HR processes, implement technology solutions, and drive operational efficiencies. Responsibilities include coordinating initiatives, evaluating practices, managing software solutions, and supporting change management within the HR team.
The Senior Scientist II will support product and process development for biscuit products, focusing on optimization, quality improvement, and commercialization. Responsibilities include designing and executing trials, managing project timelines, analyzing data, and mentoring junior colleagues while collaborating with cross-functional teams and external partners.
As a Senior Analyst in Marketing Science & Analytics, you will analyze performance marketing results, develop insights, and ensure proper marketing measurement. Your role involves working closely with various teams to optimize marketing investments and report on campaign performance.
Top hybrid Companies in New York City, NY Hiring Data + Analytics Roles
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