> Markdown version of [/jobs/ext/2989215-middle-data-scientist-consumer-analytics](https://www.wearedevelopers.com/jobs/ext/2989215-middle-data-scientist-consumer-analytics). 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). --- # Middle Data Scientist - Consumer Analytics - **Company:** Kin Analytics Inc. - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Data Analysis, Microsoft Azure, Recommender Systems, Azure Machine Learning, SQL Databases, Azure Data Factory, Model Validation, Kaggle, Git, Pandas, Scikit Learn, Xgboost, Machine Learning Operations, Software Version Control, Databricks - **Published:** September 18, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pl4ob93812 ## About the Role * 1-2 years of hands-on experience in data science or applied analytics - industry experience preferred (academic years discounted) * Solid Python for data science: pandas, scikit-learn, and at least working familiarity with gradient boosting * Comfortable writing SQL and working with real, imperfect data (not clean Kaggle datasets) * Understanding of the ML lifecycle: from EDA to model evaluation * Experience with Microsoft Azure (Azure ML, Azure Data Factory, Databricks on Azure, or similar platform services) * Exposure to version control (Git) and basic production practices * Comfort with AI-native tools: Claude, agents, MCPs * Ability to explain technical trade-offs to non-technical audiences * Fluent written and spoken English Nice to have * Background or coursework in consumer/retail/CPG analytics * Experience with recommendation systems or customer segmentation * Exposure to A/B testing or experiment design * Prior consultancy or client-facing experience (not required - this is a support/build role, not a lead role) ## Related Videos - [Machine learning 101: Where to begin?](https://www.wearedevelopers.com/videos/1014-machine-learning-101-where-to-begin) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology) - [Search and aggregations made easy with OpenSearch and NodeJS](https://www.wearedevelopers.com/videos/490-search-and-aggregations-made-easy-with-opensearch-and-nodejs) ## 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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)