Senior Data Scientist
| Company | Copeland |
|---|---|
| Location | St. Louis, MO, USA, Kennesaw, GA, USA, Bellefontaine, OH, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level, Senior |
Requirements
- Strong interdisciplinary background, combining data science expertise with a solid grounding in traditional engineering fields such as Chemical, Mechanical, Aerospace, or related disciplines.
- Bachelor 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 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
- Ability to work virtually with a global team
- Ability to translate ambiguous business problem into actionable analytics and data science tasks
Responsibilities
- Implement solutions to solve sophisticated 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
Preferred Qualifications
- 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, 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 acted as a change agent for transformation initiatives
- Experience with Docker, Azure DevOps, Agile sprints
- Ability and interest in translating highly sophisticated and abstract concepts to internal and external team members with minimum analytics knowledge