Data Scientist, Advanced Analytics and Data Products

Key Skills

Java Programming, Python Programming, SQL, Machine learning techniques, Alteryx, Tableau, R Programming, Algorithms, Large scale data processing

Job Description

At Trane TechnologiesTM and through our businesses including Trane® and Thermo King®, we create innovative climate solutions for buildings, homes, and transportation that challenge what’s possible for a sustainable world. We're a team that dares to look at the world's challenges and see impactful possibilities. We believe in a better future when we uplift others and enable our people to thrive at work and at home. We boldly go.

Thermo King is hiring a Data Scientist to join a world-class team applying innovative analytic and data product approaches to complex problems. These analytics are leveraged by internal engineering, internal business functions, and our end customers to provide insights into product improvement and operational efficiency opportunities. This position is eligible for a Hybrid work schedule and will be based out of our Minneapolis, MN location. Flexible work from home options available.

Individuals who have a passion for the integration of physical systems with digital information to solve challenging problems are needed for the advancement of product development at TK and its sustainability mission. This position is focused on advanced analytics and data products that combining statistical knowledge and programming capabilities to develop, test and maintain analytics and predictive models.

RESPONSIBILITIES

• The role is responsible for contributing and developing end to end analysis and data products, ranging from descriptive analysis to machine learning predictive algorithms.

• Work with product and business strategy teams to understand data product and visualization requirements. Communicate results to stakeholders, bridging analytics knowledge and engineering domain/business knowledge.
• Work with Senior Data Scientists to develop, and document data-driven models and analytics for connected refrigeration and mobile HVAC systems. Analysis may include specific components and subsystems (e.g., compressors, heat exchangers, pumps, coils, fans--physical world analytics).
• Develop and maintain well documented analytics that are reproducible by others.
• Combine several sources of large-scale product data with both internal and external data sources to solve engineering and business analytic needs. 
• Predictive failure analytics for units.
• Test and evaluate the quality of the algorithms using statistical methods.
• Develop and document data workflows to enable data extraction and merging of disparate data sets.
• Manage projects from start to finish, with implementation into a production environment as appropriate.
• Collaborate with engineers and other data scientists to solve problems and develop new products and services. 
• Stay up to date in the field of machine learning. Apply new technologies in development of products.
• Responsibility for developing deliverables that are production capable (scalable, automation).

QUALIFICATIONS

• BS or MS in mechanical engineering, physics, computer science, data science, or statistics, with industrial internet of things data experience a plus.
• Familiarity with programming in R, Python, and/or SQL, or the ability to become proficient within a short period of time. Able to adapt to new technologies, as necessary. Familiarity with tools such as Alteryx, Tableau, etc. is a plus.
• Knowledge of machine learning modeling techniques, and experience visualizing model outputs for engineers, customers, and stakeholders.
• Experience in statistical inference, unsupervised machine learning, supervised machine learning, reliability/survivability models, and/or predictive maintenance a plus.
• Strong written & verbal English communication skills to interface effectively with team members, customers, and stakeholders (senior leaders) in North America and other parts of the world.