Copeland
Senior Data Scientist
Copeland, Sidney, Ohio, United States, 45365
About Us
We are a global climate technologies company engineered for sustainability. We create sustainable and efficient residential, commercial and industrial spaces through HVACR technologies. We protect temperature-sensitive goods throughout the cold chain. And we bring comfort to people globally. Best-in-class engineering, design and manufacturing combined with category-leading brands in compression, controls, software and monitoring solutions result in next-generation climate technology that is built for the needs of the world ahead.
Whether you are a professional looking for a career change, an undergraduate student exploring your first opportunity, or recent graduate with an advanced degree, we have opportunities that will allow you to innovate, be challenged and make an impact. Join our team and start your journey today!
As a Senior Data Scientist, you will:
Implement solutions to solve sophisticated business and engineering problems using machine learning, econometrics and operations research techniques.
Build customer-focused analytics with data scientist peers.
Discover opportunities to improve systems, processes and enterprises through data analytics and automation.
Generate reports for decision-making using data visualization tools.
Establish and maintain collaboration with other internal teams to apply cloud and edge-computing capabilities for production and proprietary algorithms.
Develop in-depth business and domain understanding.
Translate analytics techniques published in peer-review journals and conference proceedings into practical solutions for challenges at hand.
Required Education, Experience, & Skills:
Bachelor or Master's Degree in Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, Aerospace Engineering.
Knowledge of HVAC and refrigeration related thermodynamics, system operation and system control logic.
Proven experience in applying signal process (time and frequency domain) for feature engineering.
Experience in data wrangling and modeling in Python or similar language and collaborate using Git.
Proficient in verifying raw data integrity through automation and classic extract-transform-load (ETL) techniques.
Proficient in robust statistics, hypothesis testing, experimental design.
Experience with modelling techniques for sophisticated systems and machine learning.
Excellent verbal and written communication skills.
Ability to work virtually with a global team.
Ability to translate ambiguous business problem into actionable analytics and data science tasks.
Preferred Education, Experience, & Skills:
Doctorate degree in Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, Aerospace Engineering or hold a combination of Master's degrees in Engineering and Analytics / Artificial Intelligence fields.
Extensive knowledge (3+ years) in "green refrigerant" system(s) working principle, related thermodynamics, system simulations.
3-5 years of practical experience in predictive maintenance.
Proven experience as the technical lead for project(s) or research or acted as a change agent for transformation initiatives.
Experience in applying control theory, system identification, dynamic modeling, optimization to tackle practical system level instability and/or failure.
Experience in reinforcement learning (RL) and natural language processing (NLP).
Experience with Docker, Azure DevOps, Agile sprints.
Familiar with basic SQL commands (e.g. windowing function, group-by aggregate, pivot).
Ability and interest in translating highly sophisticated and abstract concepts to internal and external team members with minimum analytics knowledge.
Flexible Work Schedule – Remote Work Option and Core HoursThis role has the flexibility of a remote work option up to three days a week and a core hour schedule. You can choose to flex your start and stop times given you are working during the core hours of 9:00am - 3:00pm.
Work AuthorizationCopeland will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1 with OPT or CPT, H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Equal Opportunity EmployerCopeland is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status.
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We are a global climate technologies company engineered for sustainability. We create sustainable and efficient residential, commercial and industrial spaces through HVACR technologies. We protect temperature-sensitive goods throughout the cold chain. And we bring comfort to people globally. Best-in-class engineering, design and manufacturing combined with category-leading brands in compression, controls, software and monitoring solutions result in next-generation climate technology that is built for the needs of the world ahead.
Whether you are a professional looking for a career change, an undergraduate student exploring your first opportunity, or recent graduate with an advanced degree, we have opportunities that will allow you to innovate, be challenged and make an impact. Join our team and start your journey today!
As a Senior Data Scientist, you will:
Implement solutions to solve sophisticated business and engineering problems using machine learning, econometrics and operations research techniques.
Build customer-focused analytics with data scientist peers.
Discover opportunities to improve systems, processes and enterprises through data analytics and automation.
Generate reports for decision-making using data visualization tools.
Establish and maintain collaboration with other internal teams to apply cloud and edge-computing capabilities for production and proprietary algorithms.
Develop in-depth business and domain understanding.
Translate analytics techniques published in peer-review journals and conference proceedings into practical solutions for challenges at hand.
Required Education, Experience, & Skills:
Bachelor or Master's Degree in Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, Aerospace Engineering.
Knowledge of HVAC and refrigeration related thermodynamics, system operation and system control logic.
Proven experience in applying signal process (time and frequency domain) for feature engineering.
Experience in data wrangling and modeling in Python or similar language and collaborate using Git.
Proficient in verifying raw data integrity through automation and classic extract-transform-load (ETL) techniques.
Proficient in robust statistics, hypothesis testing, experimental design.
Experience with modelling techniques for sophisticated systems and machine learning.
Excellent verbal and written communication skills.
Ability to work virtually with a global team.
Ability to translate ambiguous business problem into actionable analytics and data science tasks.
Preferred Education, Experience, & Skills:
Doctorate degree in Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, Aerospace Engineering or hold a combination of Master's degrees in Engineering and Analytics / Artificial Intelligence fields.
Extensive knowledge (3+ years) in "green refrigerant" system(s) working principle, related thermodynamics, system simulations.
3-5 years of practical experience in predictive maintenance.
Proven experience as the technical lead for project(s) or research or acted as a change agent for transformation initiatives.
Experience in applying control theory, system identification, dynamic modeling, optimization to tackle practical system level instability and/or failure.
Experience in reinforcement learning (RL) and natural language processing (NLP).
Experience with Docker, Azure DevOps, Agile sprints.
Familiar with basic SQL commands (e.g. windowing function, group-by aggregate, pivot).
Ability and interest in translating highly sophisticated and abstract concepts to internal and external team members with minimum analytics knowledge.
Flexible Work Schedule – Remote Work Option and Core HoursThis role has the flexibility of a remote work option up to three days a week and a core hour schedule. You can choose to flex your start and stop times given you are working during the core hours of 9:00am - 3:00pm.
Work AuthorizationCopeland will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1 with OPT or CPT, H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Equal Opportunity EmployerCopeland is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status.
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