Senior Data Scientist

About This Role

Optimize HVACR system performance and energy consumption using machine learning, econometrics, and operations research. This role involves developing customer-focused solutions to global resource and efficiency challenges and establishing collaborations with internal teams.

Responsibilities

• Apply machine learning, econometrics, and operations research to optimize HVACR system performance and energy consumption
• Discover and deliver on opportunities to improve processes in the enterprise through data analytics and automation
• Develop customer-focused solutions that address global resource and efficiency challenges
• Work on an array of problem types, including optimization, forecasting, statistical analysis, control theory, and LLM’s
• Establish and maintain collaboration with other internal teams to apply cloud and edge-computing capabilities for production and proprietary algorithms
• Develop a deep understanding of the HVACR and cold chain industries to ensure technical solutions align with business goals
• Adapt advanced techniques from peer-reviewed journals and conferences into practical, scalable solutions for real-world engineering challenges

Requirements

• 3+ years of relevant experience
• Experience in data wrangling and modeling in Python or similar language
• Proficient in verifying raw data integrity through automation and exploratory data analysis (EDA) techniques
• Proficient in robust statistics, hypothesis testing, experimental design
• Ability to work virtually with a global team
• Ability to translate ambiguous business problems into actionable analytics and data science tasks

Qualifications

• Bachelor’s degree in Computer Science, Statistics, Chemical Engineering, Mechanical Engineering, Electronic / Electrical Engineering, Aerospace Engineering, Mathematics, or other relevant degree
• 3+ years of relevant experience

Nice to Have

• Interdisciplinary background, combining data science expertise with a solid grounding in traditional engineering fields
• 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
• Experience in applying signal processing (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 Azure DevOps and Agile sprints
• Ability and interest in translating highly sophisticated and abstract concepts to internal and external team members with minimum analytics knowledge

Skills

* Required skills

Benefits