Junior Data Scientist

Johnson Controls•Glendale, AZ

1d•$68,000 - $93,000•Hybrid

About The Position

Build your best future with the Johnson Controls team As a global leader in smart, healthy and sustainable buildings, our mission is to reimagine the performance of buildings to serve people, places and the planet. Join a winning team that enables you to build your best future! Our teams are uniquely positioned to support a multitude of industries across the globe. You will have the opportunity to develop yourself through meaningful work projects and learning opportunities. We strive to provide our employees with an experience, focused on supporting their physical, financial, and emotional wellbeing. Become a member of the Johnson Controls family and thrive in an empowering company culture where your voice and ideas will be heard – your next great opportunity is just a few clicks away! We’re building out our Business AI and analytics capabilities and looking for a curious, driven Junior Data Scientist to grow with us. You’ll be embedded on our Lean Initiative team, working alongside senior data scientists and engineers to develop models, support analytics, and help bring AI-powered features to life. This is a great opportunity for someone early in their career who wants real ownership, real problems, and a team that’s genuinely excited about what AI can do. This role is built for someone who wants to grow fast. As you develop your skills and take on more complex problems, you’ll have a clear path toward a full Data Scientist or ML Engineer role. We invest in people who show initiative and want to go deep — on the models, the platform, and the business problems behind them. We’re a lean team that moves quickly and values people who take initiative. You won’t just be a cog here — you’ll have a voice, ownership, and room to grow. This is a hybrid role (3 days per week) at our Glendale, WI office.

Requirements

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

Nice To Haves

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

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