Senior Data Scientist

Overview

Develop ML and analytics solutions for HVACR systems, improving efficiency and predictive maintenance.

Key Responsibilities

• data analytics
• automation
• data visualization
• machine learning
• cloud integration
• domain knowledge

Tasks

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

Requirements

• docker
• azure devops
• python
• reinforcement learning
• predictive maintenance
• advanced degree

What You Bring

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

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About Copeland

-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.

Sector Specialisms

Visa Sponsorship

-no sponsorship; must be legally authorized to work in the u.s. -applicants with temporary visas (e.g., h‑1b, f‑1 opt, etc.) are not eligible.