Top Senior Level Data Engineer Jobs in NYC, NY
As a Principal Associate in Data Science at Capital One, you will work on cutting-edge projects using transformer models, large language models, and multi-modal technologies to analyze unstructured data sources like call transcripts and document images. You will lead data annotation projects, collaborate with business stakeholders, and leverage a variety of technologies including Pytorch, Hugging Face, and AWS.
Lead the design, research, modeling, engineering, and evaluation of ML models and systems at CNN. Collaborate with cross-functional teams on ML projects from ideation to completion. Mentor and influence engineers across organizations. Drive innovation and advocate for customer-centric practices.
The Staff Machine Learning Engineer will design, develop, and scale recommendation systems for the streaming app Max, facilitating seamless personalization experiences. The role requires collaboration with cross-functional teams in ML projects and mentoring engineers while advocating for innovation and best practices in machine learning systems.
A Senior Data Engineer role at Aircall, responsible for designing, building, and maintaining core data infrastructure pieces, enhancing data stack and alerting systems, implementing data management best practices, leading data pipeline development, evaluating new technologies, mentoring team members, and collaborating with stakeholders.
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Rokt is looking for a Data Analytics, Director (GTM) to join their team and support in delivering rapid insights and innovation. The ideal candidate will have extensive experience in BI/analytics, strong expertise in scripting languages and visualization tools, and the ability to provide valuable insights to internal and external clients.
Perchwell is seeking a Senior Data Engineer to lead data engineering initiatives, build data solutions, and scale existing infrastructure for the real estate industry. Responsibilities include building ETL tooling, designing data governance measures, and collaborating with cross-functional teams. Candidates should have 5+ years of experience in data engineering with expertise in Python, SQL, and Kotlin, as well as experience with cloud architecture and data warehouses. Excellent communication skills are required for effective collaboration.
Join JP Morgan Asset Management's Data Science team to enhance investment processes using cutting-edge machine learning in a collaborative environment. Responsibilities include collaborating with stakeholders, developing NLP/ML solutions, curating datasets, experimenting with model architectures, and delivering results to stakeholders.
As a Lead Machine Learning Engineer at Personio, you will provide technical leadership, design and deploy scalable ML algorithms, mentor junior engineers, and shape the Machine Learning landscape within the organization. This hybrid role is based in New York City.
Lead the redesign of Datadog's visual language for data representation, conducting audits of existing visualizations, collaborating on diverse projects across departments, and creating impactful infographics and schematics together with maintaining a library of design elements.
As a SAP CoP Senior Master Data Governance Expert, responsible for overseeing planning and execution of software and applications related to Materials, Vendors, Customers, and Financial Data Domains. Collaborate with stakeholders and suppliers to identify and deploy software solutions with a focus on SAP applications. Manage data governance, data quality, integration points, and support service levels.
Join a growing team at PwC focusing on solving clients' critical business and data protection challenges. Responsibilities include strategic programs, data analytics, cyber resilience, and technical implementation activities. Opportunity to work with top professionals globally in Cybersecurity, Privacy, and Forensics. Key focus on information governance to manage data and mitigate information risk for clients.
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