Junior Data Scientist at Johnson… · Milwaukee…

Summary: Johnson Controls is a global leader in smart, healthy and sustainable buildings. They are seeking a curious and driven Junior Data Scientist to join their Lean Initiative team, where the candidate will develop models, support analytics, and help bring AI-powered features to life. Responsibilities: - Build, train, and evaluate machine learning models that support business decisions and product features - Develop and maintain analytics reports and dashboards that surface actionable insights for stakeholders - Collaborate on AI product and feature work — from prototyping to production support - Write clean, well-documented Python for data processing, modeling, and analysis - Work with SQL to query, transform, and validate data across multiple sources Support model monitoring, performance tracking, and iterative improvement - Explore and experiment with LLMs and GenAI frameworks to identify opportunities for intelligent automation and AI-assisted workflows - Work across cloud platforms (Azure or Palantir) to access data, run workloads, and deploy models Required Qualifications: - Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field - Hands-on experience with Python and/or R — coursework, projects, internships, or personal work all count - Comfort writing SQL queries and working with structured and semi-structured data - Familiarity with core ML concepts — supervised/unsupervised learning, model evaluation, feature engineering - Exposure to at least one cloud platform (AWS, Azure, or GCP) - Curiosity about LLMs and GenAI — you don't need to be an expert, but you should be excited about where the space is going - Strong communication skills — you can explain what you built and why it matters to both technical and non-technical audiences - A collaborative mindset and willingness to learn fast in a lean team environment Preferred Qualifications: - Experience with frameworks like LangChain, Hugging Face, or OpenAI APIs - Exposure to MLflow, dbt, or similar tools - Familiarity with data visualization tools (Tableau, Power BI, or similar) - Any experience with Palantir Foundry or AIP is a bonus Required Skills: Python, R, SQL, Machine Learning, Supervised Learning, Unsupervised Learning, Model Evaluation, Feature Engineering, Cloud Platforms, LLMs, Generative AI, Curiosity, Willingness to learn Benefits: Competitive salary, Paid vacation/holidays/sick time, Comprehensive benefits package including 401K, medical, dental, and vision care, On the job/cross training opportunities, Encouraging and collaborative team environment, Dedication to safety through our Zero Harm policy