Copeland is looking for a Senior Data Scientist to implement solutions that solve sophisticated engineering problems. In this role, you will use machine learning, econometrics, and operations research to build customer-focused analytics, discover opportunities for improvement, and translate research into practical solutions.
What You'll Do
- Implement solutions to solve sophisticated engineering problems using machine learning, econometrics, and operations research techniques.
- Build customer-focused analytics in collaboration 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.
What We're Looking For
- A strong interdisciplinary background, combining data science expertise with a solid grounding in traditional engineering fields such as Chemical, Mechanical, Aerospace, or related disciplines.
- Bachelor's degree in Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, Aerospace Engineering, Mathematics, Data Science, Statistics, or other relevant degree.
- 3+ years of relevant experience.
- Experience in data wrangling and modeling in Python or similar language and collaborating using Git.
- Proficient in verifying raw data integrity through automation and classic extract-transform-load (ETL) techniques.
- Proficient in robust statistics, hypothesis testing, and experimental design.
- Ability to work virtually with a global team.
- Ability to translate ambiguous business problems into actionable analytics and data science tasks.
Nice to Have
- 1+ years of practical experience in predictive maintenance.
- Advanced Degree in Analytics, Computer Science, Artificial Intelligence, Mathematics, Statistics, Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, or 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 applying optimal control theory and reinforcement learning (RL).
- Proven experience as the technical lead for project(s) or research, or having acted as a change agent for transformation initiatives.
- Experience with Docker, Azure DevOps, and Agile sprints.
- Ability and interest in translating highly sophisticated and abstract concepts to internal and external team members with minimal analytics knowledge.
Technical Stack
- Python
- Git
- Docker
- Azure DevOps
Benefits & Compensation
- Flexible and competitive benefits plans including medical insurance, dental and vision coverage, 401(k), and tuition reimbursement.
- Flexible time off plans including paid parental leave (maternal and paternal), vacation, and holiday leave.
Work Mode
This position operates on a hybrid work model.
Copeland 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.
