Senior Data Scientist applying machine learning in HVACR technology for optimization and efficiency. Collaborating with global teams to develop innovative solutions in a sustainability-focused company.
Responsibilities
Apply machine learning, econometrics, and operations research to optimize HVACR system performance and energy consumption
Discover and deliver on opportunities to improve processes in our enterprise through data analytics and automation
Develop customer-focused solutions that address global resource and efficiency challenges
Work on an array of problem types, including optimization, forecasting, statistical analysis, control theory, and LLM’s
Establish and maintain collaboration with other internal teams to apply cloud and edge-computing capabilities for production and proprietary algorithms
Develop a deep understanding of the HVACR and cold chain industries to ensure technical solutions align with business goals
Adapt advanced techniques from peer-reviewed journals and conferences into practical, scalable solutions for real-world engineering challenges
Requirements
Bachelor’s degree in Computer Science, Statistics, Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, Aerospace Engineering, Mathematics, or other relevant degree
3+ years of relevant experience
Experience in data wrangling and modeling in Python or similar language
Proficient in verifying raw data integrity through automation and exploratory data analysis (EDA) techniques
Proficient in robust statistics, hypothesis testing, experimental design
Ability to work virtually with a global team
Ability to translate ambiguous business problems into actionable analytics and data science tasks
Benefits
medical insurance plans
dental and vision coverage
401(k)
flexible time off plans including paid parental leave, vacation and holiday leave
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