> Markdown version of [/jobs/ext/1348790-data-scientist-python-gcp](https://www.wearedevelopers.com/jobs/ext/1348790-data-scientist-python-gcp). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist (Python/GCP) - **Company:** Shield AI - **Location:** San Diego, CA, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Big Data, Relational Databases, Apache Hadoop, Python (Programming Language), Machine Learning, NumPy, Tensorflow, SQL Databases, Data Processing, Google Cloud, Pytorch, Apache Spark, Deep Learning, Pandas, Scikit Learn, Machine Learning Operations, Data Pipelines - **Published:** July 19, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p5tw42eht1 ## About the Role * Proven commercial experience as a Data Scientist or in a similar analytical role. * Strong proficiency in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-Learn). * Solid hands-on experience with SQL and querying relational databases. * Strong, practical experience working with Google Cloud Platform (GCP). * Practical knowledge of designing, evaluating, and deploying Machine Learning algorithms. * Strong problem-solving skills and the ability to work effectively in cross-functional teams. Nice to have * Familiarity with Big Data technologies (e.g., Apache Spark, Hadoop). * Knowledge of Deep Learning frameworks (e.g., TensorFlow, PyTorch). * Experience with ML model deployment and MLOps practices. ## Description * Analyze large, complex datasets to identify trends, patterns, and actionable insights. * Design, train, and deploy machine learning models into production environments. * Write clean, maintainable, and efficient code to support data processing and model training. * Collaborate with data engineers to optimize data pipelines and ensure data quality. * Translate complex analytical findings into clear, business-focused recommendations for stakeholders. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [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) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)