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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Applied Data Scientist - **Company:** Mergent, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Continuous Integration, DevOps, Python (Programming Language), Object-Oriented Software Development, Tensorflow, Pytorch, Scikit Learn, Software Version Control - **Published:** September 10, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pj25y49ioc ## About the Role Are you an experienced data scientist with a passion for productionising AI solutions? Do you want to build innovative solutions for financial markets and professionals by co-developing with teams of brilliant, collaborative data scientists? If so, we'd love to talk to you! As a Senior Data Scientist, you will drive the development of high-impact, scalable AI solutions, moving beyond prototypes to production systems. We are looking for an experienced data scientist with the proven ability to manage project timelines and deliver high-quality code that aligns with business goals. You will combine strong problem-solving skills with a collaborative approach to ensure team success., * Strong statistical analysis skills, with a foundation in probability, to support robust model development and interpretation. * Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn). * Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery. * Proven ability to establish and uphold coding standards to ensure high-quality, maintainable code. * Excellent communication skills for summarizing complex technical concepts clearly and effectively to both technical and non-technical partners. Desirable skills * Working knowledge of DevOps practices, including code versioning, CI/CD pipelines, automated testing, and monitoring, to streamline development workflows and improve deployment reliability. ## Description This role combines hands-on technical leadership with strategic oversight in a high-impact environment focused on innovation and continuous development. * Develop and deploy production-level AI models and data-driven solutions that align with strategic business objectives. * Tune and optimize AI models to improve their accuracy, efficiency and overall fitness for purpose in various applications. * Evaluate third-party AI solutions on both functional and non-functional aspects, assessing their suitability based on performance, scalability, and business needs. * Establish and apply coding standards to maintain robust and clean code. * Work closely with Software Engineers and multi-disciplinary teams to define project requirements and direction, and establish development roadmaps. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)