Scientifique principal des données

## Senior Data Scientist Presenta candidatura:
Dal lunedì al giovedì, lavora in sede insieme ai tuoi colleghi. Il venerdì, scegli tu da dove lavorare, bilanciando le esigenze del tuo ruolo.:
Minneapolis, Minnesota:
Tempo pieno:
Offerta pubblicata oggi:
JR-17492

Entra a far parte della nostra missione! In qualità di leader mondiale nella creazione di soluzioni climatiche confortevoli, sostenibili ed efficienti per edifici, abitazioni e trasporti, abbiamo la responsabilità di mettere il pianeta al primo posto. Per noi di Trane Technologies, e attraverso le nostre attività, tra cuiTranee

Thermo King La sostenibilità non è solo il modo in cui facciamo business—è il nostro business. Hai il coraggio di guardare alle sfide del mondo e vedere possibilità di impatto? Vuoi contribuire a creare un futuro migliore? Se la risposta è sì, ti invitiamo a prendere in considerazione l’idea di unirti a noi per sfidare con audacia ciò che è possibile per un mondo sostenibile.

Scopri i nostribeneficipensato per permetterti di eccellere sia sul lavoro che a casa.

Andiamo avanti con determinazione.
** Dove si trova il lavoro:
** Dal lunedì al giovedì, lavora in sede insieme ai tuoi colleghi. Il venerdì, scegli tu da dove lavorare, bilanciando le esigenze del tuo ruolo.
** 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…