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Senior Data Scientist
Trane Technologies
Minneapolis, USA
Full-time
Senior · 3+ years experience
Onsite
Discovered 4 days ago
awspythonsql
Key Skills for This Role
awspythonsql
Full Job Posting
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:
- 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.
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
- $158,238.33 - $220,955.00
- Salary
- Yes
- No
About Trane Technologies
Diversified Manufacturing44000 employeesFounded 1913
Global climate innovator for buildings, homes, and transportation.
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