Junior Data Scientist

Johnson Controls•Glendale, CA

2d•$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! What we offer: 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 What you will do: 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. How you will do it: 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 What we look for: 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 Preferred 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 Growth Path 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. HIRING SALARY RANGE: $68,000 - $93,000 (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, location and alignment with market data.) The posted salary range reflects the target compensation for this role. However, we recognize that exceptional candidates may bring unique skills and experiences that exceed the typical profile. If you believe your background warrants consideration beyond the stated range, we encourage you to apply. To support an efficient and fair hiring process, we may use technology assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. This position includes a competitive benefits package. For details, please visit the About Us tab on the Johnson Controls Careers site at https://jobs.johnsoncontrols.com/about-us #LI-Hybrid Johnson Controls International plc. is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability or any other characteristic protected by law. To view more information about your equal opportunity and non-discrimination rights as a candidate, visit EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit here. Johnson Controls: Enhancing the Intelligence of Buildings Your buildings have a purpose. They are places for people to live or work. Facilities for learning or healing. Venues for entertainment and shopping. Sites for the specialized storage of tangible goods or mission-critical data. Your buildings have a huge variety of functions; they are central to your mission. This is where Johnson Controls comes in, helping drive the outcomes that matter most. Through a full range of systems and digital solutions, we make your buildings smarter. A smarter building is safer, more comfortable, more efficient, and, ultimately, more sustainable. Most important, smarter buildings let you focus more intensely on your unique mission. Better for your people. Better for your bottom line. Better for the planet. At Johnson Controls, we’ve been making buildings smarter since 1885, and our capabilities, depth of innovation experience, and global reach have been growing ever since. Today, we offer the world’s largest portfolio of building products, technologies, software, and services; we put that portfolio to work to transform the environments where people live, work, learn and play.

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