Senior/Lead Data Scientist

If you are a Data Scientist professional looking for an opportunity to grow, Copeland has an opening for you!  Based in either our Sidney, Ohio or St. Louis, Missouri location, you will assist with developing ground-breaking insights dedicated to improving the quality of people's lives around the world, by protecting the food cold-chain while helping us to be better stewards of the world's energy reserves. You will work Copeland's Data Scientists and Engineers around the world as a motivator for change by developing innovative product forecasting, data-driven product, and efficiency improvement services for internal and external customers.

As a Senior/Lead 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
   

 Who You Are:
You build and deliver solutions that meet customer expectations.  You consider all relevant factors and use appropriate decision-making criteria and principles.  You work collaboratively with others across the organization to achieve shared objectives. You deal constructively with problems that do not have clear solutions or outcomes and ask the right questions to accurately analyze situations.
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 logics
• 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 Hours
This 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. Our teams work together to ensure our chosen work schedules enable our creativity and productivity as we serve the needs of our customers. 

Our Commitment to Our People
Across the globe, we are united by a singular Purpose: Sustainability is no small ambition. That’s why everything we do is geared toward a sustainable future—for our generation and all those to come. Through groundbreaki