Senior Data Scientist

Trane Italia; Minneapolis (MN); Hybrid; USD 158,000 - 221,000; Full time

Benefits offered by this job

Health insurance

401K match

Tuition assistance

Paid time off

Job summary

Trane Technologies Connected Solutions is seeking a Senior Data Scientist to join a small, entrepreneurial analytics team focused on IIoT problems. You will build predictive maintenance and anomaly detection models and collaborate with Data Ops to deploy and monitor them.

This high-visibility role involves cross-functional collaboration, modeling across compressors and subsystems, and guiding junior teammates while advancing the company’s digital strategy.

Qualifications

• Master’s Degree in Mathematics, Data Science, Computer Science, Engineering or equivalent experience.
• 3+ years of experience developing inferential and predictive models.
• Proficient in Python with experience with data science libraries.
• Experience working with machine data / time series data.

Responsibilities

• Lead the development and implementation of state of the art machine learning models to enable predictive and prescriptive maintenance.
• Take ownership of the full data science workflow from scoping to monitoring.
• Interface with engineers and modelers to improve predictive models.
• Mentor and guide other team members in the domain area.

Skills

Python

SQL

Time series

Machine learning

Data science

AWS

Model deployment

Mathematics

Time series analysis

Education

Master’s degree in Mathematics/Data Science/CS/Engineering

Tools

AWS

Job description

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.