Junior Data Scientist

Milwaukee-Wisconsin-United States of America

Full-time

Hybrid

$68K/yr - $93K/yr

New Grad, Entry Level

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.

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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

Qualification

Required

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