Senior Data Scientist at Trane Technologies

Job description

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it s our responsibility to put the planet first. For us at Trane Technologies , and through our businesses including Trane® and Thermo King , sustainability is not just how we do business—it is our business. Do you dare to look at the world s challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what s possible for a sustainable world. Learn about our benefits designed for you to Thrive at work and at home. We boldly go. Where is the work: Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires. What s in it for you: Trane Technologies Connected Solutions Advanced Analytics Team is seeking a Senior Data Scientist to join a small-but-growing entrepreneurial technical team that are applying innovative analytic approaches to extremely complex problems in the Industrial Internet of Things (IIoT) space. The Senior Data Scientist will be responsible for building predictive maintenance and anomaly detection models in support of our mission-critical digital strategy initiatives. This role will work closely with the Data Ops Team to deploy and manage the models as well as implement model improvements. This is a high visibility group within Thermo King that is tackling big data problems that have the potential to significantly impact the business performance of the company. This “ground floor” opportunity will give the successful candidate exposure to complex, real-world business problems and the opportunity to make a tangible difference. What you will do: Lead the development and implementation of state of the art machine learning models to enable predictive and prescriptive maintenance of components and subsystems (compressors, heat exchangers, pumps, fans, etc) Take ownership for the entire data science workflow including project scoping, exploratory data analysis, model development, hyperparameter tuning, testing, deployment and monitoring Interface with engineers and modelers to create and improve understanding of predictive and descriptive models Network across the organization to identify and communicate opportunities to apply data science and machine learning to product design and processes Mentor and guide other team members and colleagues in the domain area What you will bring: Minimum Qualifications: Master’s Degree in Mathematics, Data Science, Computer Science, Engineering or equivalent experience Demonstrated work or educational history in engineering and/or engineering related discipline Experience working with machine data / time series data Understanding of the full life cycle of model development and deployment 3 years of experience developing inferential and predictive models Proficient in Python with experience with data science libraries Prior experience writing clean and efficient SQL code Key Competencies Understanding of modeling techniques and their appropriate uses; ability to apply common modeling best practices to build models using high-volume, asynchronous time series data Ability to apply a catalog of potential analytic techniques to solve a problem and the willingness to try new combinations in a quest for the best solution Understanding of engineering data and physics-based models and simulations Experience in statistical inference, unsupervised machine learning, supervised machine learning, cross validation, hyperparameter turning, and predictive maintenance in real world applications. Experience leveraging cloud infrastructure, preferably AWS, in the model development and deployment process Ability to manipulate and visualize both structured and unstructured dataset Annual Base Salary Range or Hourly Base Pay Range: $158,238.33 - $220,955.00 Compensation Type: Salary Incentive Eligible: Yes Sales Commission Eligible: No Disclaimer : We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status. Thrive at work and at home: Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives – WE DARE TO CARE! Family building benefits include fertility coverage and adoption/surrogacy assistance. Paid time off includes up to 15 vacation days, paid holidays, sick leave, and additional options to support volunteer and parental leave. 401K match up, educational and training opportunities through company programs along with tuition assistance and student debt support. Disclaimer: Benefit offerings may vary by site as well as Collective Bargaining Agreements and local/state regulations Safety Sensitive Role: No The company designates certain roles as Safety Sensitive. Safety Sensitive roles may require that you pass additional drug screening. 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.

Requirements

Must-haves

Learn about our benefits designed for you to Thrive at work and at home.
We boldly go.
Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.
Lead the development and implementation of state of the art machine learning models to enable predictive and prescriptive maintenance of components and subsystems (compressors, heat exchangers, pumps, fans, etc)
Take ownership for the entire data science workflow including project scoping, exploratory data analysis, model development, hyperparameter tuning, testing, deployment and monitoring
Interface with engineers and modelers to create and improve understanding of predictive and descriptive models
Network across the organization to identify and communicate opportunities to apply data science and machine learning to product design and processes
Mentor and guide other team members and colleagues in the domain area
Minimum Qualifications: Master’s Degree in Mathematics, Data Science, Computer Science, Engineering or equivalent experience
Demonstrated work or educational history in engineering and/or engineering related discipline
Experience working with machine data / time series data
Understanding of the full life cycle of model development and deployment
3 years of experience developing inferential and predictive models
Proficient in Python with experience with data science libraries
Prior experience writing clean and efficient SQL code
Key Competencies Understanding of modeling techniques and their appropriate uses; ability to apply common modeling best practices to build models using high-volume, asynchronous time series data
Ability to apply a catalog of potential analytic techniques to solve a problem and the willingness to try new combinations in a quest for the best solution
Understanding of engineering data and physics-based models and simulations
Experience in statistical inference, unsupervised machine learning, supervised machine learning, cross validation, hyperparameter turning, and predictive maintenance in real world applications.
Experience leveraging cloud infrastructure, preferably AWS, in the model development and deployment process
Ability to manipulate and visualize both structured and unstructured dataset
Family building benefits include fertility coverage and adoption/surrogacy assistance.
Disclaimer: Benefit offerings may vary by site as well as Collective Bargaining Agreements and local/state regulations
No The company designates certain roles as Safety Sensitive. Safety Sensitive roles may require that you pass additional drug screening.

Nice-to-haves

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Keywords to mirror

gomachine learningpythonsqlaws

Platform: workday
Effort: long

Benefits

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Health Insurance

401k

Paid Time Off

Parental Leave

Wellness