Top Remote Data Engineer Jobs in NYC
Experiment with state-of-the-art algorithms to improve knowledge retrieval and search efficiency, develop NLP and Gen AI models for customer support, collaborate with cross-functional teams, monitor and evaluate model performance, and prepare reports on model trends.
Act as a security domain expert in partnership with Compliance, Legal, and Engineering. Collaborate across roles and functions, prioritize security efforts, and automate governance and compliance functions using scripting languages like Python or data tools. Interpret and communicate security constraints to stakeholders and monitor changes in security regulations and standards.
Develop and implement machine learning models for fraud detection, analyze datasets for fraudulent activities, collaborate with teams to mitigate fraud risks, monitor model performance, stay updated on machine learning trends, and prepare reports for stakeholders.
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Seeking a Data Analytics leader with a strong background in BI & Data, team management, and strategic decision-making. Responsibilities include leading cross-functional projects, managing a high-performing data team, and supporting FP&A with complex data requirements. Must have 10+ years of BI & Data experience and 6+ years of team management experience.
Lead a team of data engineers in designing, developing, and implementing technical solutions using full-stack development tools and technologies. Provide technical and people leadership to drive data transformation within Capital One.
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Responsible for all aspects of NBC Sports Next data platform, data integration, and data analytics. Leading improvements of existing data solutions and development of new solutions to address business requirements.
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Seeking a Data Engineer with extensive experience in AWS Glue, Spark, Python, and Snowflake to design, develop, and optimize ETL processes and data warehousing solutions. Responsibilities include data integration, data governance, and collaboration with cross-functional teams. Company offers competitive benefits and values client-centric solutions, ownership, excellence, and teamwork.
Seeking a Senior Machine Learning Engineer to develop NLP algorithms, train large language models, preprocess data, drive entity resolution solutions, collaborate with teams, and contribute to research initiatives. Must have 5 years of ML experience with NLP focus, proficiency in Python and relevant ML libraries, and a Bachelor's degree in computer science or related field.
As a Data Operations Manager at Canoe Intelligence, you will focus on driving subject matter expertise to the execution of new products, managing delivery through onshore and offshore teams, and defining future product roadmap. Responsibilities include ensuring high standards of output, advocating for best practices, analyzing data trends, and identifying improvements in technology and processes.
Develop and implement machine learning models for fraud detection, analyze large datasets, collaborate with cross-functional teams, monitor model performance, and stay up-to-date with the latest machine learning and fraud detection techniques.
Build CV models to extract structure from unstructured, information-dense 3D scans. Work with product and research teams to identify opportunities for improvement. Develop both generic models and fine-tune models for specific applications. Apply machine learning techniques throughout the engineering and product organization. Collaborate with product owners to deliver value to customers.
Lead and contribute to developing and implementing machine learning models and algorithms to drive innovation and improve products and services. Work on internet-scale backend systems, specializing in machine learning model development and deployment. Collaborate with cross-functional teams and stay updated with the latest advancements in ML and AI research.
Responsible for defining and driving data governance within the Finance organization. Partnering across finance teams to align on data policies and standards. Developing strategies for data quality metrics and automation. Managing data governance policies and maintaining a data dictionary of key Finance data attributes.
Seeking an experienced Database Engineer with operations background to build sustainable solutions for data storage and streaming platforms. Responsibilities include administration, performance tuning, architecting database infrastructure, delivering managed data platform solutions, tooling and automation, and establishing best practices.
Top remote Companies Hiring Data + Analytics Roles
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