Top Remote Data & Analytics Jobs in NYC, NY
As a Trading Analyst, you will analyze supply and demand data, develop trading tools, and provide feedback to optimize the market for SeatGeek's partners. You will work closely with quantitative analysts and business development, contribute to trading strategies, and conduct industry research to support revenue growth and enhance partner relationships.
The Senior Marketing Analyst will analyze marketing data to derive insights, evaluate marketing campaign performance, develop dashboards, and conduct ROI analyses. Responsibilities also include reporting, collaboration across departments, and market research to improve marketing effectiveness.
As a Staff Data Scientist at Enigma, you will lead efforts in translating customer goals into innovative data solutions using machine learning and statistics. You will work collaboratively to improve data accuracy, develop anomaly detection techniques, and validate results against real-world data, contributing significantly to the product's development.
Featured Jobs
The Analyst role involves utilizing data analysis to support client-facing initiatives and improve operational efficiency within Cedar. Responsibilities include maintaining reports, analyzing metrics, and contributing to client materials while collaborating closely with internal teams.
The Alchemy Analyst will contribute to content creation related to web3 and blockchain, assist in growth programs, perform market research, and communicate with customers and team members. This remote part-time position involves 10 to 15 hours per week focusing on informative writing for developers and collaboration with the growth team.
As a Junior Research Scientist at EliseAI, you will develop machine learning architectures, conduct analyses to enhance AI solutions, and apply advanced mathematical techniques to optimize engagement strategies. You'll work with cross-functional teams to integrate machine learning models and stay updated on the latest research in AI and machine learning.
The Principal Big Data Engineer will lead the design and development of ad verification and analytics solutions, overseeing the software lifecycle, providing technical leadership, mentoring junior engineers, and ensuring best engineering practices. This role involves building scalable distributed systems and collaborating with various stakeholders to meet product requirements.
The role involves managing vendor relationships and data center strategies. Responsibilities include negotiating contracts, planning infrastructure growth, collaborating with various teams, and conducting vendor performance reviews. The ideal candidate has extensive experience in the data center industry and excels in multitasking and project management in a high-growth environment.
The VP of Machine Learning Operations will architect and manage ML operations, optimize ML models' deployment, and lead a team of ML engineers. Responsibilities include designing scalable ML pipelines on AWS and GCP, ensuring high availability and performance of ML infrastructure, recruiting and mentoring engineers, and contributing to data science initiatives.
The Catalog Senior Analyst will drive improvements to food taxonomies, manage data accuracy processes, collaborate with product managers and data scientists to enhance user experience, and analyze customer behavior to identify opportunities within the product catalog.
All Filters
No Results
No Results
