What you will do
At Johnson Controls, we’re shaping the future to create a world that’s safe, comfortable, and sustainable. Our global team creates innovative, integrated solutions to make cities more connected and buildings more intelligent. We are passionate about improving the way the world lives, works and plays. The future requires bold ideas, an entrepreneurial mindset, and collaboration across boundaries.
How you will do it
Facilitate to manage development and delivery of technical communications within the assigned knowledge management system.
Utilize the accumulation of information by external and internal end-user communities as well as forums.
Pair with Subject Matter Expert to create and evaluate data driven solutions.
Track success of data driven solutions using attribution methodologies
What we look for
Required:
Bachelor's or master’s degree in computer science, Statistics, Mathematics, or related field.
Over 8 years of experience in a data science or analytics role, with a proven track record of delivering impactful insights, products, and solutions.
Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
Strong understanding of machine learning techniques and algorithms, such as regression, classification, clustering, and deep learning.
Experience with data visualization tools (e.g., matplotlib, seaborn, Tableau) and SQL databases.
Excellent problem-solving skills and attention to detail, with the ability to work independently and collaboratively in a fast-paced environment.
Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
Experience with distributed data/computing tools: Snowflake, Spark, MySQL, etc.
Experience in Azure and Azure ML is a must
Experience with data engineering tasks such as data pipeline development, data warehousing, or data integration.
Proficiency in version control systems (e.g., Git) and collaboration tools (e.g., JIRA, Confluence).
Understanding of ethical considerations and best practices in data science, including privacy, bias, and fairness.
Demonstrated experience working with multiple specialties in a "one-team" environment.
Experience across a variety of technical disciplines.
Excellent oral, written, and interpersonal communication skills.
Preferred:
Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP).
Knowledge of natural language processing (NLP) techniques and tools.
Experience with A/B testing methodologies and experimental design.
Publications or presentations in relevant conferences or journals.
Certifications in data science or related fields (e.g., AWS Certified Machine Learning Specialty, Google Professional Data Engineer).
Our salary and benefits
The final package will reflect your experience, skills, and qualifications relevant to the role. We are committed to fair, equitable, and gender-neutral pay practices.
About Us
Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education.
For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward.
We are committed to diversity and inclusion and believe that different perspectives make us stronger. By encouraging open dialogue and valuing individuality, we strive to be one of the most desirable places to work.
Skills Required
- Bachelor's or master's degree in computer science, Statistics, Mathematics, or related field
- Over 8 years of experience in a data science or analytics role
- Proficiency in Python or R
- Experience with data manipulation and analysis libraries (pandas, NumPy, scikit-learn)
- Strong understanding of machine learning techniques and algorithms (regression, classification, clustering, deep learning)
- Experience with data visualization tools (matplotlib, seaborn, Tableau)
- Experience with SQL databases
- Experience with distributed data/computing tools: Snowflake, Spark, MySQL
- Experience in Azure and Azure ML
- Experience with data engineering tasks such as data pipeline development, data warehousing, or data integration
- Proficiency in version control systems (Git) and collaboration tools (JIRA, Confluence)
- Strong communication and interpersonal skills; ability to convey technical concepts to technical and non-technical audiences
- Understanding of ethical considerations in data science, including privacy, bias, and fairness
- Demonstrated experience working with multiple specialties in a one-team environment
- Experience across a variety of technical disciplines
- Excellent problem-solving skills and attention to detail
- Preferred: Experience with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Azure, GCP)
- Preferred: Knowledge of natural language processing (NLP) techniques and tools
- Preferred: Experience with A/B testing methodologies and experimental design
- Preferred: Certifications in data science or related fields (e.g., AWS ML Specialty, Google Professional Data Engineer)
Johnson Controls Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson Controls and has not been reviewed or approved by Johnson Controls.
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Retirement Support — Retirement support is positioned as a meaningful part of the package through employer 401(k) matching, repeatedly framed as a strong pillar of the overall rewards mix. The matching contribution is described with specific match levels in multiple places, reinforcing perceived value for long-term saving.
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Leave & Time Off Breadth — Time off is presented as comparatively robust, with multiple paid holiday categories, vacation time, and sick time described as generous or “amazing” in places. Paid time off breadth appears to be a consistent contributor to total rewards attractiveness beyond base pay.
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Flexible Benefits — Benefits are described as broad and customizable, spanning standard medical/dental/vision plus optional add-ons like pet insurance, identity protection, and legal support. Tuition reimbursement is repeatedly highlighted as a high-value option supporting professional development.
Johnson Controls Insights
What We Do
At Johnson Controls, we transform the environments where people live, work, learn and play. From optimizing building performance to improving safety and enhancing comfort, we drive the outcomes that matter most. Dedicated to protecting the environment, we deliver our promise in industries such as healthcare, education, data centers and manufacturing. With a global team of 100,000 experts in more than 150 countries and over 130 years of innovation, we are the power behind our customers’ mission. Our leading portfolio of building technology and solutions includes some of the most trusted names in the industry, such as Tyco®, York®, Metasys®, Ruskin®, Titus®, Frick®, Penn®, Sabroe®, Simplex®, Ansul® and Grinnell®.
