Top Data & Analytics Jobs
The Head of Data will lead data-driven decision-making, oversee product data science and analytics, and collaborate closely with data engineers and scientists to enhance monetization, engagement, and retention. This role emphasizes hands-on involvement in problem-solving within a modern data stack, ensuring a world-class learning experience for customers.
As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.
As a Python Data Engineer, you'll build and maintain data ingestion and streaming infrastructure, evolve web crawling systems, and create ETL pipelines connecting to APIs and datasets while collaborating with global engineering teams.
Featured Jobs
Speechify is seeking a Senior Applied AI Scientist to join their AI team. The team aims to develop the best Text-To-Speech (TTS) AI and Natural Language Processing (NLP) methods. Responsibilities include developing ideas and projects, mentoring engineers, researching and implementing state-of-the-art NLP and TTS or CV, managing R&D projects, and staying up to date with new technology. The ideal candidate should have experience in NLP or TTS or CV with a focus on image generation, ML, and Python programming using Tensorflow and PyTorch. Speechify offers a fast-growing and entrepreneurial environment, competitive salary, and opportunities for impact.
As a Senior Data Engineer, you will develop and manage data pipelines, ELT processes, and data storage solutions to ensure data quality, consistency, and availability. You will work closely with teams to leverage data effectively for business outcomes and contribute to architectural decisions and design solutions.
The Senior Data Scientist will analyze complex data, build and deploy machine learning models, write Python code for data analysis, collaborate with teams, and provide feedback on data analyses. They will work in a remote, collaborative culture focused on delivering insights and product improvements.
Work with and develop state-of-the-art NLP models to improve conventional market research practices. Good communication skills and ability to explain technical concepts to non-technical audiences.
edX is hiring for multiple roles in data visualization student support. The roles include Teaching Assistants, Tutors, Learning Assistants, and Graders. The positions are remote part-time and require at least 6 months of experience related to the program. The hourly salary is $20 per hour. The main responsibilities include providing support to students in bootcamps through various mediums such as Zoom, Slack, and structured schedules. Stable internet connection and flexibility in schedule are required.
The Senior Field Application Scientist will manage customer application needs for genomic analysis, train customers on new processes, provide troubleshooting support, develop workflows, and represent the company at customer sites and scientific conferences.
Passionate Senior Data Engineer needed to build innovative data solutions for business transformation. Involved in end-to-end data engineering, automation, infrastructure-to-data science collaboration, strategic initiatives, stakeholder collaboration, and growth potential. Must possess strong analytical aptitude, attention to detail, and communication skills.
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