
Senior Data Scientist
Copeland
full-time
Posted on:
Location Type: Hybrid
Location: Sidney • Montana • Ohio • United States
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Job Level
About the role
- 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
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Applicant Tracking System Keywords
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Hard Skills & Tools
machine learningeconometricsoperations researchdata analyticsautomationoptimizationforecastingstatistical analysiscontrol theorydata wrangling
Soft Skills
collaborationcustomer-focused solutionsadaptabilityproblem-solvingcommunicationglobal teamworktranslating business problemsactionable analytics