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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Fujitsu America Inc - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Computer Vision, Microsoft Azure, Big Data, Data Transformation, Decision Support Systems, Information Extraction, Python (Programming Language), Machine Learning, Natural Language Processing, Object Detection, Recommender Systems, Tensorflow, Sentiment Analysis, Reinforcement Learning, Data Processing, Feature Engineering, Pytorch, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Scikit Learn, Variational Autoencoders, Machine Learning Operations, Document Classification - **Published:** July 8, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p35c0sa1br ## About the Role * Several years of experience as a Data Scientist or in a similar analytical role. * Proficiency in at least two of specialization areas listed below: * Applied machine learning (e.g., classification, regression, anomaly detection, time series models, feature engineering, model evaluation) * Computer vision (e.g., image and video analysis, object detection, segmentation, OCR) * Natural language processing (e.g., text classification, information extraction, sentiment analysis, search, document understanding) * Generative AI (e.g., Large Language Models, prompt engineering, RAG pipelines, GANs, VAEs, diffusion models) * Reinforcement learning (e.g., decision optimization, control problems, simulation-based learning) - nice to have * Recommender systems & decision support (e.g., ranking, personalization, matching, collaborative filtering, learning-to-rank) - nice to have * Strong Python skills for data science and experience with ML/AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn). * Experience working with large datasets and data processing tools. * Hands-on experience with cloud platforms (Azure, AWS, or GCP). * Practical understanding of MLOps concepts (e.g., model lifecycle management, monitoring, retraining). * Strong problem-solving skills and ability to propose practical solutions. Soft Skills * Analytical and critical thinking capabilities. * Ability to explain complex technical concepts to non-technical stakeholders. * High level of independence and ownership of assigned tasks. * Excellent communication and teamwork skills. * Strong attention to detail and quality documentation. * Willingness to share knowledge with others. ## Description * Perform data wrangling, preprocessing, and feature engineering. * Build, test, and enhance advanced analytics and AI/ML models. * Conduct data analysis, create visualizations, and prepare decision-support reports. * Perform research and experiments on new data science methodologies. * Work with cloud platforms (Azure / AWS / GCP) and custom analytical tools. * Support end-to-end development of data science solutions - from problem formulation and prototyping to deployment and monitoring in production. * Develop and maintain clear project documentation. * Mentor junior data scientists and support team development. * Collaborate with technical and business teams within R&D projects. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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