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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior/Data Scientist - **Company:** CHARLES KEITH - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Amazon S3, Continuous Integration, Identity and Access Management, Python (Programming Language), Machine Learning, Performance Tuning, Recommender Systems, Tensorflow, SQL Databases, Reinforcement Learning, Pytorch, Large Language Models, Generative AI, Containerization, Information Technology, HuggingFace, Machine Learning Operations - **Published:** September 10, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pj28lbreaj ## About the Role *Bachelor's Degree in Computer Science, Machine Learning, Data Science, or related field *4+ years of applied ML in production for the Data Scientist level, or 7+ years for the Senior level, including personalization, recommendation or decisioning systems at consumer scale *Hands-on experience delivering machine learning on the AWS platform - Amazon SageMaker AI end-to-end (training jobs, Pipelines, Model Registry, Feature Store, Model Monitor, real-time endpoints) *Broader AWS stack (S3, Glue, Athena, Kinesis, Lambda, Step Functions, IAM, KMS) plus MLOps: CI/CD for ML, IaC, containers, and observability *Contextual bandits or reinforcement learning (LinUCB, Thompson Sampling): reward design, exploration, cold start, and off-policy evaluation; strong recommender-system depth also considered *Practical generative AI experience (prompting, RAG, fine-tuning, evaluation, guardrails); Python and SQL, PyTorch/TensorFlow, Hugging Face, LangChain, and vector databases *Rigorous A/B testing practice and excellent communication across business and technical teams * Fashion retail or retail/ECommerce background, fluent in retail metrics and processes (conversion funnel, AOV, merchandising, seasonality) is an advantage *Good to have: AWS Certified Machine Learning - Specialty or ML Engineer - Associate; Amplitude and Salesforce Commerce Cloud familiarity ## Description Contextual Bandit Personalization on AWS (Flagship Project) *Design, build, and tune a contextual multi-armed bandit personalizing homepage, listing, product, and cart pages to lift conversion rate and AOV *Engineer behavioral features from clickstream and warehouse data, design reward functions, and tune exploration/exploitation policies per surface *Deliver end-to-end on Amazon SageMaker AI - training jobs, Pipelines, Model Registry, Feature Store, Model Monitor, and real-time endpoints (sub-100 ms) *Validate uplift through controlled A/B experimentation, and take the system over from the delivery vendor into production ownership after go-live Generative AI and Broader Data Science Projects *Build production generative AI applications for retail - RAG over product catalogs and enterprise data, agentic workflows, content and service copilots - with evaluation, guardrails and cost control *Deliver wider data science: demand forecasting, customer lifetime value, pricing and markdown, search, recommendations and segmentation Engineering and Operations *Build with production discipline: versioned pipelines, infrastructure-as-code, CI/CD for ML, containerization, security and cost control *Monitoring, drift detection, retraining, and incident response ## Related Videos - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [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) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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