Top Remote Data & Analytics Jobs in New York City, NY
Lead the development and deployment of machine learning models that analyze risk across various businesses. Collaborate with product management and software engineers while managing projects independently in an agile environment.
As a Machine Learning Engineer at Kalepa, you will be responsible for leading the development and deployment of machine learning models aimed at assessing risks associated with various businesses. You will process structured and unstructured data from diverse sources to generate actionable insights, working collaboratively in a two-week sprint format with a focus on project ownership.
As a Senior Machine Learning Engineer, you will lead the development and deployment of machine learning models using large amounts of structured and unstructured data. The role involves understanding business risks and delivering actionable insights through your projects, while collaborating with product management and software engineers in a fast-paced environment.
The Deal Desk Analyst will support the closure of commercial deals, providing deal structuring and pricing support while collaborating with internal teams. Responsibilities include advising the sales team, managing deal queues, and ensuring smooth contract execution, with a strong focus on driving revenue growth.
The Senior Business Analyst at Capital One Shopping is responsible for analyzing business challenges, performing product modeling, supporting marketing efforts, and enhancing credit risk strategies. The role requires collaboration across various teams to implement improvements and drive business growth through strategic and analytical insights.
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The Sr. Data Engineer will design and build scalable data pipelines across various sources to support data-driven decisions and generative AI initiatives. Responsibilities include collaborating with cross-functional teams, implementing data engineering principles, and optimizing performance and security of data applications.
Develop and maintain data platforms, architect data pipelines, and collaborate with stakeholders to drive operational efficiencies. Improve system performance and ensure data security and compliance. Share knowledge through documentation and mentoring.
As an AI Research Scientist, you will lead the design and implementation of large-scale experiments, enhance existing products using advanced machine learning techniques, and publish research findings. You'll collaborate with partners on research initiatives and refine methodologies under minimal supervision.
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The Senior Analyst, Marketing Science & Analytics will analyze and optimize marketing investments, evaluate campaign effectiveness, develop measurement strategies, and collaborate with various teams to ensure proper measurement of marketing spend. The role involves reporting on marketing performance and promoting experimentation to identify growth opportunities.
The Senior Data Analyst will leverage data to drive strategic decision-making and contribute to organizational success. Responsibilities include collaborating with various teams, performing data analysis, developing dashboards and visualizations, monitoring product performance, and promoting a data-informed culture within the company.
The Data Science Director at OpenX will lead the Machine Learning team, guiding the development of ML products and collaborating with cross-functional teams to execute the ML team's roadmap, ensuring innovative and scalable solutions are delivered on time.
As a Senior Principal Data Scientist, you will work with the People Insights team at Atlassian to analyze and provide insights on strategic and operational issues, collaborate with various stakeholders, and lead projects that impact business strategy and performance, all while mentoring team members.
Top remote Companies in New York City, NY Hiring Data + Analytics Roles
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