Software Engineer - Data Scientist

What you will do

Johnson Controls is shaping the future to create a world that is 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 how the world lives, works, and plays.

• Facilitate the 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.
• Partner with subject matter experts to create and evaluate data-driven solutions.
• Track the success of data-driven solutions using attribution methodologies.

What we look for

• Bachelor’s or master’s degree in computer science, statistics, mathematics, or a 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, including regression, classification, clustering, and deep learning.
• Experience with data visualization tools (e.g., matplotlib, seaborn, Tableau) and SQL databases.
• Excellent problem-solving skills, attention to detail, and 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 such as Snowflake, Spark, and MySQL.
• Experience with Azure and Azure ML is a must.
• Experience in 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 such as Hadoop and 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 at relevant conferences or journals.
• Certifications in data science or related fields (e.g., AWS Certified Machine Learning Specialty, Google Professional Data Engineer).

Salary and Benefits

• Initial basic salary: 11,600 PLN - 17,500 PLN per month, depending on experience, skills, and qualifications.
• We are committed to fair, equitable, and gender-neutral pay practices.