Senior Data Scientist at Copeland in St Louis, MO | Kablio

Role

Description

data analytics

machine learning

cloud computing

edge computing

data visualization

reporting

Discover opportunities to improve systems, processes and enterprises through data analytics and automation
Build customer-focused analytics with data scientist peers
Implement solutions to solve sophisticated engineering problems using machine learning, econometrics and operations research techniques
Develop in-depth business and domain understanding
Establish and maintain collaboration with other internal teams to apply cloud and edge-computing capabilities for production and proprietary algorithms
Translate analytics techniques published in peer-review journals and conference proceedings into practical solutions for challenges at hand
Generate reports for decision-making using data visualization tools

Requirements

docker

azure devops

python

reinforcement learning

etl

predictive maintenance

Proficient in verifying raw data integrity through automation and classic extract-transform-load (ETL) techniques
1+ years of practical experience in predictive maintenance
Bachelor Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, Aerospace Engineering, Mathematics, Data Science, Statistics or other relevant degree
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
Strong interdisciplinary background, combining data science expertise with a solid grounding in traditional engineering fields such as Chemical, Mechanical, Aerospace, or related disciplines.
Ability to work virtually with a global team
Advanced Degree in Analytics / Computer Science / Artificial Intelligence / Mathematics, Statistics, Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, Aerospace Engineering
Ability to translate ambiguous business problem into actionable analytics and data science tasks
3+ years of relevant experience
Experience in applying optimal control theory and reinforcement learning (RL)
Experience in data wrangling and modeling in Python or similar language and collaborate using Git
Proven experience as the technical lead for project(s) or research or acted as a change agent for transformation initiatives
Proven experience in applying signal process (time and frequency domain) for feature engineering
Proficient in robust statistics, hypothesis testing, experimental design
Knowledge of HVAC and refrigeration related thermodynamics, system operation and system control logic

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

only candidates legally authorized to work in the u.s. will be considered.
no sponsorship will be provided for any visa type.

Security clearance

Information not given or found

Company

Overview

90 Years

Experience in Refrigeration

The company has a deep history in refrigeration and HVAC systems, contributing significantly to the industry's evolution over decades.

They are a trusted name in providing advanced solutions for both residential and commercial sectors.
Their products range from energy-efficient compressors to cutting-edge refrigeration technology.
Copeland has been a key player in the global push for sustainability, offering energy-saving solutions.
The company frequently partners with global brands, delivering impactful projects in industrial and commercial sectors.
They are known for creating custom solutions tailored to the unique needs of each project.
A standout achievement includes their work in the energy and utilities sectors, delivering high-efficiency cooling and heating solutions.
Copeland’s legacy is built on innovation, quality, and a commitment to improving refrigeration technology.

Culture + Values

Customer Focused: Dedicated to understanding and exceeding customer expectations.
Innovation: Continuously pushing the boundaries of technology to provide exceptional solutions.
Integrity: Doing the right thing, even when no one is watching.
Excellence: Striving for the highest standards in everything they do.
Teamwork: Collaborating and respecting one another to achieve common goals.

Environment + Sustainability

Net Zero by 2050

Carbon Emissions Target

A commitment to achieving net zero greenhouse gas emissions by the year 2050.

Focus on energy efficiency, resource conservation, and waste reduction in manufacturing processes.
Partnerships with customers and suppliers to drive sustainable solutions.
Development of energy-efficient products that meet the needs of industries and customers while reducing environmental impact.
Ongoing investment in renewable energy sources and sustainable materials.

Inclusion & Diversity

24%

Women in Leadership

Reflecting the company's commitment to gender diversity in its leadership ranks.

Strong focus on creating an inclusive work environment where diverse talents and perspectives are valued.
Implementation of training programs to foster inclusivity and cultural awareness.
Focus on recruitment and career development programs for underrepresented groups.

Articles

About Copeland

Careers at Copeland

Role

Description

data analytics

machine learning

cloud computing

edge computing

data visualization

reporting

Discover opportunities to improve systems, processes and enterprises through data analytics and automation
Build customer-focused analytics with data scientist peers
Implement solutions to solve sophisticated engineering problems using machine learning, econometrics and operations research techniques
Develop in-depth business and domain understanding
Establish and maintain collaboration with other internal teams to apply cloud and edge-computing capabilities for production and proprietary algorithms
Translate analytics techniques published in peer-review journals and conference proceedings into practical solutions for challenges at hand
Generate reports for decision-making using data visualization tools

Requirements

docker

azure devops

python

reinforcement learning

etl

predictive maintenance

Proficient in verifying raw data integrity through automation and classic extract-transform-load (ETL) techniques
1+ years of practical experience in predictive maintenance
Bachelor Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, Aerospace Engineering, Mathematics, Data Science, Statistics or other relevant degree
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
Strong interdisciplinary background, combining data science expertise with a solid grounding in traditional engineering fields such as Chemical, Mechanical, Aerospace, or related disciplines.
Ability to work virtually with a global team
Advanced Degree in Analytics / Computer Science / Artificial Intelligence / Mathematics, Statistics, Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, Aerospace Engineering
Ability to translate ambiguous business problem into actionable analytics and data science tasks
3+ years of relevant experience
Experience in applying optimal control theory and reinforcement learning (RL)
Experience in data wrangling and modeling in Python or similar language and collaborate using Git
Proven experience as the technical lead for project(s) or research or acted as a change agent for transformation initiatives
Proven experience in applying signal process (time and frequency domain) for feature engineering
Proficient in robust statistics, hypothesis testing, experimental design
Knowledge of HVAC and refrigeration related thermodynamics, system operation and system control logic

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

only candidates legally authorized to work in the u.s. will be considered.
no sponsorship will be provided for any visa type.

Security clearance

Information not given or found

Company

Overview

90 Years

Experience in Refrigeration

The company has a deep history in refrigeration and HVAC systems, contributing significantly to the industry's evolution over decades.

They are a trusted name in providing advanced solutions for both residential and commercial sectors.
Their products range from energy-efficient compressors to cutting-edge refrigeration technology.
Copeland has been a key player in the global push for sustainability, offering energy-saving solutions.
The company frequently partners with global brands, delivering impactful projects in industrial and commercial sectors.
They are known for creating custom solutions tailored to the unique needs of each project.
A standout achievement includes their work in the energy and utilities sectors, delivering high-efficiency cooling and heating solutions.
Copeland’s legacy is built on innovation, quality, and a commitment to improving refrigeration technology.

Culture + Values

Customer Focused: Dedicated to understanding and exceeding customer expectations.
Innovation: Continuously pushing the boundaries of technology to provide exceptional solutions.
Integrity: Doing the right thing, even when no one is watching.
Excellence: Striving for the highest standards in everything they do.
Teamwork: Collaborating and respecting one another to achieve common goals.

Environment + Sustainability

Net Zero by 2050

Carbon Emissions Target

A commitment to achieving net zero greenhouse gas emissions by the year 2050.

Focus on energy efficiency, resource conservation, and waste reduction in manufacturing processes.
Partnerships with customers and suppliers to drive sustainable solutions.
Development of energy-efficient products that meet the needs of industries and customers while reducing environmental impact.
Ongoing investment in renewable energy sources and sustainable materials.

Inclusion & Diversity

24%

Women in Leadership

Reflecting the company's commitment to gender diversity in its leadership ranks.

Strong focus on creating an inclusive work environment where diverse talents and perspectives are valued.
Implementation of training programs to foster inclusivity and cultural awareness.
Focus on recruitment and career development programs for underrepresented groups.

Articles

About Copeland

Careers at Copeland