Top Remote Data & Analytics Jobs
The Data Annotator role involves labeling and curating data to train AI models, including tasks such as identifying objects in images, tagging text, and generating educational content like multiple-choice questions. This position requires attention to detail and expertise in STEM fields, with a focus on ensuring high-quality data for accurate AI model performance.
The Data Annotator will label and curate data for AI model training, including annotating multimodal data and generating multiple-choice questions. The role requires attention to detail, English proficiency, and data literacy.
As a Field Application Scientist, you will support sales and customers with technical expertise on products related to proteomics. Responsibilities include conducting demos, managing technical support, collaborating with internal teams, and ensuring instrument utilization. The role requires excellent communication skills and a background in life sciences.
The Senior Revenue Operations Analyst will focus on territory management and automation processes within the Revenue Operations team. Responsibilities include analyzing data to provide territory recommendations, systematizing territory assignments, and ensuring data hygiene across various teams. Collaboration with Customer Success and GTM teams is essential to enhance lead distribution and territory alignment.
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The Senior Revenue Operations Analyst will shape and assign sales territories through data analysis and automation, collaborate cross-functionally, and monitor data accuracy. Responsibilities include improving internal processes, utilizing tools like Dunn & Bradstreet, and providing guidance to the GTM teams.
Mentors provide technical support to students by answering queries, reviewing project submissions, and offering personalized feedback while ensuring original work. They maintain a quick response and review time to foster a supportive learning environment.
Responsible for developing tailored data science solutions, leveraging machine learning techniques to transform complex datasets into actionable insights, communicating findings, designing scalable models, and working cross-functionally with teams to integrate data science solutions.
As an AI Research Scientist at Phaidra, you will lead the design and implementation of novel algorithmic architecture for intelligent control systems in the industrial sector. This role involves applying expertise in reinforcement learning and deep learning, and collaborating across research fields to achieve groundbreaking results that enable industrial facilities to autonomously improve their operations.
The Senior Data Scientist will develop and deploy machine learning models and financial analytics tools, analyze large datasets, design and implement statistical models, and collaborate with various teams. Responsibilities include financial forecasting, presenting insights to leadership, mentoring junior scientists, and staying updated on advancements in the field.
The Revenue Cycle Data Analyst will manage report writing requests, analyze large datasets, ensure data integrity, create analytical reports with visualizations, and interpret data within the revenue cycle management domain. The candidate will collaborate with various departments and present insights to stakeholders.
The Data Scientist I role involves developing and monitoring quantitative models for credit and fraud analytics. Responsibilities include consolidating large datasets, performing predictive analytics, supporting machine learning models, advising on trends, and collaborating with teams to implement strategies.
Top remote Companies Hiring Data + Analytics Roles
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