Top Data & Analytics Jobs

The Data Engineer at Sovereign will be responsible for maintaining large historical data stores, cleaning data, and building tools for researchers to access data easily in different formats.

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.

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.