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Copeland · 9 hours ago

Senior Data Scientist

Kennesaw, GA

Full-time

Hybrid

Mid, Senior Level

3+ years exp

Copeland is a global climate technologies company focused on sustainability. As a Senior Data Scientist, you will implement solutions to solve engineering problems using machine learning and data analytics, collaborate with teams to improve systems, and generate reports for decision-making.

CleanTechHeating Ventilation and Air Conditioning (HVAC)Sustainability

No H1B

U.S. Citizen Only

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

Qualification

Data ScienceMachine LearningPythonData VisualizationStatistical AnalysisCloud ComputingETL TechniquesPredictive MaintenanceAgile MethodologiesCollaboration

Required

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

Preferred

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