What you will do
We are hiring a Data Scientist who is passionate about solving complex business problems using data, machine learning, and AI. The ideal candidate has a strong foundation in Python, hands-on experience with ML frameworks, and exposure to Microsoft Azure cloud services. You will work on developing scalable ML models, deploying AI solutions, and deriving actionable insights from large datasets.
How you will do it
- Design, build, and evaluate machine learning models for classification, regression, forecasting, and NLP use cases.
- Develop and maintain data pipelines using Python and Azure Data Factory / Azure Databricks for ETL and feature engineering.
- Deploy ML models on Azure Machine Learning (Azure ML) using endpoints, pipelines, and MLflow tracking.
- Collaborate with data engineers to ensure data quality, availability, and governance across Azure Data Lake and Azure Synapse Analytics.
- Apply AI/GenAI capabilities (Azure OpenAI, Cognitive Services) to build intelligent applications and automation workflows.
- Monitor model performance in production, identify drift, and implement retraining strategies.
- Translate business requirements into data science problem statements and communicate findings to stakeholders.
- Participate in code reviews, documentation, and adherence to ML Ops best practices.
What we look for
Required:
- Bachelor's or Master’s in Computer Science, Statistics, Mathematics, or related field.
- 8+ years in data science/analytics with a proven record of delivering impactful insights/products.
- Proficiency in Python or R; experience with pandas, NumPy, scikit-learn.
- Solid ML knowledge (regression, classification, clustering, deep learning).
- Experience with data visualization (matplotlib, seaborn, Tableau) and SQL databases.
- Excellent problem-solving, detail-oriented, able to work independently and in fast-paced teams.
- Strong communication skills; able to explain technical concepts to technical and non-technical audiences.
- Experience with distributed data/compute (Snowflake, Spark, MySQL, etc.).
- Azure/Azure ML experience is mandatory; data engineering skills (pipelines, warehousing, integration).
- Proficiency with Git and collaboration tools (JIRA, Confluence).
- Understanding of ethics, privacy, bias, and fairness in data science.
- Demonstrated ability to work across multiple specialties in a “one-team” environment.
- Broad experience across technical disciplines.
Preferred:
- Experience with big data tech (Hadoop, Spark) and cloud platforms (AWS, Azure, GCP).
- NLP techniques and tools.
- A/B testing methodologies and experimental design.
- Publications or conference/journal presentations.
- Certifications in data science or related fields (e.g., AWS Certified ML, Google Professional Data Engineer).
Our salary and benefits
The initial basic salary for this position will be in the range of €2430 – €3800 per month, plus a 13th month salary applied after your first 6 months in the job. 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.
- At Johnson Controls, your work comes with benefits that support both your career and your wellbeing.
- Meal vouchers fully covered by the company.
- Flexible benefits budget with access to 3,500+ options, including a MultiSport card, medical and wellness services.
- Extra savings through retail and lifestyle discounts (Benefit+).
- Allowance for the private kindergarten or nursery to support your family.
- Flexible working hours and home office days.
- Allowance for language courses, professional development support, and wellbeing support.
- On site benefits: massages, distribution of fruits, yoga, psychologist, health month, various events with supporting groups (volunteering activities, branding activities).
- Seniority benefits - extra monthly financial allowance, medical care and support, wellbeing day.
- Relocation support with housing allowance if moving to Slovakia
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.
#LI-DD1
#LI-Hybrid
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 (data pipeline development, data warehousing, data integration).
- Proficiency in version control (Git) and collaboration tools (JIRA, Confluence).
- Understanding of ethical considerations in data science, including privacy, bias, and fairness.
- Excellent problem-solving skills and attention to detail; ability to work independently and collaboratively.
- Strong communication and interpersonal skills to explain technical concepts to technical and non-technical audiences.
- Demonstrated experience working with multiple specialties in a one-team environment and across technical disciplines.
- Experience with big data technologies (e.g., Hadoop) and cloud platforms (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 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®.
