Lead Data Scientist - Advanced Analytics and Data Products

Key Skills

Java Programming, Python Programming, Database, SQL, Git

Job Description

Trane Technologies’ Thermo King is hiring a Lead Data Scientist - Advanced Analytics and Data Products to join a world-class Engineering team applying innovative analytic and data product approaches to complex problems. 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. 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 focused on advanced analytics and data products that combining statistical knowledge and programming capabilities to develop, test and maintain predictive machine learning models.

Responsibilities

This role is responsible for leading 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.
• Lead, 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).
• Determine appropriate methods, prove viability of selected method, and educate internal teams as to the analytical foundation. 
• 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 engineering, physics, computer science, data science, or statistics, with industrial internet of things data experience a plus.
• 4+ years of experience applying data-driven modeling to solve technical problems.
• Deep technical and data science expertise, acute strategic and analytical skills, ability to lead and persuade, drive and energy, and desire to work in a project-based environment on strategic issues.
• 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.

• Basic understanding of engineering data and physics-based models and simulations.
• 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.
• Good understanding of large-scale data mining and machine learning techniques for clustering, classification, regression, and anomaly detection.
• Knowledge of database systems including relational, column store and data marts; including understanding and documenting query development.
• Experience with Data engineering and Docker containers for automation a plus
• Knowledge or ability to become proficient quickly with version management tools such as Git or similar.
• 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.

Base Compensation Range is $93,000 to $193,500. Total compensation for this role also will include an incentive plan.

Disclaimer: This base salary range is based on US national averages. Actual base pay could be a result of seniority, merit, geographic location where the work is performed.

We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.