Top Hybrid Data Engineer Jobs in NYC
As a Data Engineer, you will work in a fast-paced environment on exciting assignments focused on leading-edge technologies and data management standards. Responsibilities include understanding stakeholders' data needs, mentoring junior engineers, and improving data engineering practices.
Machine Learning Engineer specializing in NLP to join the Responsible AI team at Grammarly. Develop and implement new ML solutions to improve safety and fairness of Grammarly products. Work in small cross-functional teams to leverage ML advances and human-centered design.
Senior ML Engineer role at Grammarly's On-Device ML team, responsible for proposing, designing, and prototyping new features, building ML models, integrating models into user interfaces, launching and monitoring model deployment, and staying updated with academic research.
Pfizer is seeking a Sr. Director Data Science to lead a team in commercial analytics and data science. Responsibilities include overseeing therapeutic area analytics, driving efficient analytics processes, and implementing data-driven strategies to impact business outcomes.
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As a Analytics Software Engineer III at JPMorgan Chase, you will design and deliver technology products, maintain production code, analyze data sets, and contribute to software engineering communities.
Apply sophisticated machine learning methods to tasks like natural language processing, speech analytics, and recommendation systems. Collaborate with multiple partner teams to deploy solutions into production and drive firm-wide initiatives by developing large-scale frameworks for machine learning models.
Vice President role in the Machine Learning Scientist - NLP team. Responsible for applying advanced ML techniques to NLP, speech analytics, time series, reinforcement learning, and recommendation systems. Collaborate with various teams to deploy solutions into production and drive initiatives by developing large-scale frameworks for ML models.
The CDE Data Engineer at NBCUniversal will be responsible for implementing and maintaining systems that ingest, process, and store vast amounts of data from internal and external partner systems. They will work with various technologies to build models, reports, and visualizations from large data sets.
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Support the development of data pipelines, including data extraction, transformation, and loading to databases. Write clean, high-quality, high-performance code and work with stakeholders to meet project requirements. Develop data integrations, applications, and perform SQL CRUD operations. Understand contractual and legal guidelines for handling sensitive data.
Collaborate with teams to develop, deploy, and maintain data processing pipelines using cloud technologies. Analyze large data sets, identify gaps, and provide data insights to guide business decisions. Architect cloud-based data infrastructure solutions to meet stakeholder needs.
The MDGO Data Governance Technical Data Steward will support enterprise data management tools and integration projects, collaborate with various teams, and provide technical expertise in data governance practices.
Optimizing data architecture within R&D, identifying opportunities for automation, collaborating with stakeholders, researching and recommending automation tools, developing prototypes, integrating automation solutions, providing guidance and support, monitoring performance, staying updated on emerging trends, and identifying opportunities for process improvement and automation.
Snap Inc is looking for a Machine Learning Engineer with 5+ years of experience to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building robust products. The ideal candidate should have a strong understanding of machine learning approaches and algorithms, prioritize duties, and collaborate effectively.
Top hybrid Companies Hiring Data + Analytics Roles
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