Remote Data Jobs • Machine Learning

As the Principal Data Scientist, you’ll spearhead our data science initiatives—designing and deploying advanced machine-learning and statistical solutions. You’ll mentor a growing team of data scientists, set the strategic vision for modeling efforts, and ensure our algorithms deliver real business value for Spring & Bond and our clients.

Focus will be on analytical tools development, working with engineers and data scientists around the company to improve the usability of the take-up and loan cashflow models. Engage with other stakeholders around Affirm to tailor models to the needs of Merchant Pricing, Credit, Applied Machine Learning, Finance, and other stakeholders. The ideal candidate will have strong analytical and problem solving skills with solid knowledge of analytical tools.

Help improve personalization experiences by integrating and optimizing pioneering generative AI technologies into recommender systems. Join an interdisciplinary team at the forefront of Spotify's technology and help ensure foundational technologies exceed the state of the art, actively redefining the field through published research. You'll participate in groundbreaking research at the intersection of artificial intelligence, machine learning and economics with a focus on large-scale solutions to optimize recommender systems.

The Data Science Intern role bridges the gap between data science and software development, offering an opportunity to contribute to the design, training, and deployment of advanced deep learning models. The team’s primary focus is on data classification: categorizing the contents of diverse data sources, including database tables, semi-structured data, and text, to detect data with special security and privacy requirements. The successful applicant will contribute to a central feature of a new workflow automation platform with applications in healthcare, higher education, and beyond. This is a remote position, with occasional in-person meetings.

The Data Scientist II - FI Solutions plays a crucial role in delivering our solutions today and will play a more prominent role in our future. At Vericast, our data science projects have strong foundations on machine learning, data engineering, and modeling. The Data Scientist II - FI Solutions is passionate about using cutting edge technology and data science methods to solve unique and complex problems within the Financial Services industry.

As a Data Engineer Azure, you will be an expert in the design and implementation of sophisticated Azure-based data solutions in hybrid and cloud-only scenarios. You will also be a technical consultant for our customers, navigating them on their individual data project journey. The role involves developing data pipelines and learning algorithms, data migrations, and the integration of AI and machine learning to automate processes.

We’re looking for a data science leader to guide and grow a high-impact team focused on Mozilla’s expanding portfolio of monetized products and services. This role is central to shaping a monetization strategy that aligns with our core values - protecting user privacy, delivering meaningful value to users, and ensuring the long-term financial health of Mozilla.

We are looking for a motivated and detail-oriented NLP Data Scientist with a passion for text mining, machine learning, and natural language processing. This role offers the opportunity to apply advanced NLP techniques to drive innovation and enhance our workforce intelligence capabilities. As part of our team, you’ll collaborate with experienced NLP data scientists and engineers to design, develop, and optimize algorithms and models that power next-generation workforce solutions.

Design, implement, and validate innovative algorithms and statistical methods to analyze large-scale data sets related to cancer detection. The candidate will foster a culture of innovation, collaboration, and scientific excellence, working closely with molecular biologists and clinical scientists to solve challenging problems. They will contribute to experimental design and ensure data integrity and quality control.

This role places you at a unique intersection of theoretical innovation and transformative application. You'll tackle complex modelling challenges that require both academic rigor and practical ingenuity. Your research won't just advance the field of machine learning—it will directly influence strategic decisions, optimize product performance, and shape the future direction of M-KOPA's offerings.