Remote Data Jobs • Machine Learning

As a Senior Manager Data Scientist, you will lead a team focused on developing advanced recommendation engines and deploying machine learning models into production environments, enhancing data-driven decision-making processes. This role involves mentoring a team, driving technical excellence, and fostering innovation in a dynamic, data-centric organization, leveraging expertise in Python and PySpark coding, along with experience in MLOps.

The SandboxAQ R&D team is looking for a PostDoc resident to help bring more AI to the domain of cybersecurity. A successful candidate will build models from scratch, fine tune existing ones, and run inference efficiently and design software systems around those models in close collaboration with our engineering department.

We are looking for an experienced applied data scientist to join our Data Science & Machine Learning Team focused on the application of data science, machine learning and AI approaches to understanding banking customer behavior and optimizing engagement marketing through our FinTech product platforms! You’re passionate about finding patterns, trends, and opportunities that can enable a better consumer banking experience, curious about what is driving KPIs and customer outcomes, and insightful in your analytical approach.

The AI Architect will drive customer outcomes, roadmap, and value realization for GenAI technology within accounts through hands-on delivery of ServiceNow’s GenAI capabilities and technical advisory activities. You will lead GenAI enablement programs and GenAI Impact accelerators for the broader Customer Excellence organization. Hands-on delivery of ServiceNow’s GenAI capabilities to customers and providing technical advice and guidance to best utilize ServiceNow’s GenAI technologies.

As a Senior Data Scientist, you will partner with project managers, strategists, and other members of the engineering team to aid clients in gaining deeper insights into their unique challenges and organization, effectively visualizing statistical findings. The role involves identifying data sets relevant to key research, communicating opportunities for product improvement, and collaborating with machine learning engineers.

As a Staff Data Scientist, you will be a core member of a team of data scientists advancing the discovery and development of new medicines. In this role, you will answer research questions using large real world healthcare databases to inform identification of biological molecules for effective drug development. You will work in partnership with colleagues to develop solutions to challenging computational problems in an innovative startup environment.

As a Middle/Senior Machine Learning Engineer, you will build a document intelligence solution based on the latest GenAI technology. Responsibilities include providing teams with operational support, developing solutions, building model pipelines, and collaborating with data scientists and software engineers.

A world-class data science contributor is needed as a Staff Data Scientist. This opportunity will allow operation at the highest levels of technical, strategic, and organizational impact, helping shape the future of a global entertainment platform. You will serve as a thought leader across multiple domains to influence the company’s strategic decisions through quantitative insights, modeling, and experimentation.

Lead and transform our organization's data and analytics capabilities by developing and executing an integrated Data, Analytics, and AI strategy that accelerates commercial growth, drives business value, ensures data governance, and encourages collaboration across regions. This position will deliver innovative, data-driven solutions that enhance customer experience and boost market performance.

As a Research Scholar in the Cohere Labs Scholars Program, you will collaborate with the Cohere engineering team on machine learning and natural language processing research projects, with the goal of releasing published papers or open source code. You will contribute to the advancement of meaningful scholarship in the machine learning and natural language processing space, pushing your research skills to new levels.