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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Amaris - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Artificial Neural Networks, Computer Vision, Big Data, Cloud Computing, Continuous Integration, High-Level Architecture, Python (Programming Language), Machine Learning, MongoDB, Natural Language Processing, Tensorflow, Pytorch, Delivery Pipeline, Generative AI, AWS Lambda, Information Technology, Streamlit Framework, Software Version Control, Jenkins, Databricks - **Published:** October 3, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pousgvlmek ## About the Role * 4+ years of professional experience in Data Science, Machine Learning * 2 years of hands-on experience developing in Python * Strong experience with forecasting, time series analysis, demand prediction * Degree or Master's degree in Computer Science, Data Science, Engineering, Mathematics * Solid knowledge of Machine Learning, neural networks, model architectures, and evaluation methods * Experience using and deploying TensorFlow or PyTorch * Experience taking Machine Learning solutions from experimentation and prototyping through to production * Hands-on experience with AWS services, including AWS Cognito, Amazon S3, AWS Lambda, and APIs * Experience with Databricks, MongoDB, Apache Airflow, Amazon ECR, or Jenkins * Knowledge of testing, automation, CI/CD pipelines, and version control * Experience using Streamlit * Fluent English and Spanish * Previous experience in the retail or fashion sector is a plus. ## Description * Research, define, prototype, develop, and put AI-based solutions into production. * Build rapid proofs of concept with tools such as Streamlit. * Define evaluation metrics and contribute to the assessment of expected ROI. * Develop Machine Learning solutions for forecasting, demand prediction, best-seller anticipation, stock-out prevention, assortment planning, and product allocation. * Contribute to projects involving Generative AI, Computer Vision, and Natural Language Processing. * Work with large volumes of data and Big Data technologies. * Collaborate with Data Scientists, ML Engineers, and Advanced Analytics teams. * Apply testing, automation, CI/CD, and deployment pipelines. * Use AWS services and cloud-based technologies to develop, deploy, and maintain Data Science solutions. WHY US? Join our dynamic team of talented individuals and experience a world of growth and opportunities. Here's what we offer: * Grow rapidly with a tailored career path and salary evaluation. 70% of our senior leaders started at entry level. * Enhance your skills through our Tech Academy catalog, Udemy E-learning Platform, Languages Sessions, webinars, and workshops. * Take charge of your training with an annual personal budget and company-paid certifications. * Enjoy flexible policies, remote work options, and fantastic social benefits like transit and restaurant tickets, kindergarten support, and private health insurance. * Benefit from our WeCare program, supporting employees in critical situations. * Unleash your full potential, both professionally and personally. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [GitLab CI pipelines for a whole company](https://www.wearedevelopers.com/videos/143-gitlab-ci-pipelines-for-a-whole-company) - [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) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)