Carrier is the leading global provider of healthy, safe and sustainable building and cold chain solutions with a world-class, diverse workforce with business segments covering HVAC, refrigeration, and fire and security. We make modern life possible by delivering safer, smarter and more sustainable services that make a difference to people and our planet while revolutionizing industry trends. This is why we come to work every day. Join us and we can make a difference together.

About this role

The Data Scientist II will work with a multi-disciplinary team to develop high-priority Machine Learning-enabled product features that improve the lives of our customers. The individual will work across a broad portfolio of Carrier digital products, including Abound Health and Sustainability, a cloud-native platform that unlocks siloed building data to create smarter and more resilient spaces that improve occupant and global wellness – and Abound HVAC Performance, a cloud-native application that intelligently monitors connected HVAC systems, providing vital information through a centralized data stream and improved visibility for facility managers.

Key Responsibilities

• Conduct exploratory data analysis (EDA) to understand data patterns, trends, and relationships.
• Develop and apply machine learning models and algorithms to solve business problems and extract insights from data.
• Collaborate with domain experts and stakeholders to define problem statements, data requirements, and success metrics.
• Clean, preprocess, and transform data to ensure its suitability for analysis and modeling.
• Conduct statistical analysis and hypothesis testing to validate models and draw meaningful
• conclusions.
• Optimize and fine-tune models for accuracy, performance, and scalability.
• Communicate findings, insights, and recommendations to non-technical stakeholders through data visualizations, reports, and presentations.
• Stay updated with the latest developments in the field of data science, machine learning, and relevant technologies.

Basic Qualifications

• Bachelor's degree
• 3+ months of internship experience in Data Science

Preferred Qualifications

Other qualifications you may have that would be beneficial in this role include:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
• Ability to work with large datasets and cloud-based environments (e.g., AWS, Azure, GCP).
• Excellent problem-solving skills and a proactive approach to tackling complex challenges.
• Strong communication skills, with the ability to convey technical concepts to non-technical
• stakeholders.
• Strong analytical, strategic, and creative problem-solving skills
• Experience with data visualization tools (e.g., Tableau, matplotlib, ggplot) to present insights
• effectively.
• Knowledge of SQL and databases.
• Proficiency in programming languages such as Python, R, or Java, and experience with data manipulation libraries (e.g., Pandas, NumPy).
• Hands-on experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• A team player with the ability to collaborate effectively with cross-functional teams.
• Strong interest in emerging technology, software, and IoT.
• Strong interest in working in remote fast-paced environments on distributed teams to help shape and drive scalable growth in AI/ML.

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