- Location
- HUN Budapest, Hungary
- Type
- Full-time
- Department
- Engineering
- Experience
- 8+ years
- Education
- Bachelor
- Source
- Workday
Description
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.
