In this Role, Your Responsibilities Will Be:
- Implement solutions to solve complex business and engineering problems using machine learning, econometrics and operations research techniques
- Create 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 enjoy connecting data to business operations and product engineering. Your passion is to utilize data that enables you to draw conclusions and enables value added decisions. You're motivated by ensuing others have the tools to make far reaching and impactful decisions.
For This Role, You Will Need:
- Bachelor's or Master's degree in Econometrics, Operations Research, Engineering or Quantitative field
- Must have strong interest in applying, deploying and scaling data driven solutions across business domains (e.g. Finance, Sales and Marketing), Supply Chain and customer-facing projects
- Must have experience in data wrangling and modeling in Python or similar language and collaborate using Git
- Must be proficient in verifying raw data integrity through automation, test-driven development (TDD) and classic extract-transform-load (ETL) techniques
- Proficient in robust statistics, hypothesis testing, experimental design
- Must have knowledge in forecasting and time series analysis (e.g. ARIMAX, NARX, LSTM, Transformer)
- Experience with modelling techniques for complex systems and machine learning
- Excellent verbal and written communication skills
- Ability to work on virtual teams with members around the globe
- Ability to translate ambiguous business problem into actionable analytics and data science tasks
Preferred Qualifications that Set You Apart:
- Master's or Doctorate's degree in Econometrics, Operations Research, Engineering or Quantitative field
- Demonstrated knowledge in applying forecasting and/or analytics to solve practical problems through peer-review journal publications, conference proceedings or graduate thesis
- Demonstrated experience in proposing an original and innovative initiative, executing the idea and presenting the findings with other domain expert(s)
- Demonstrated experience in managing project(s) or research and acted as a change agent
- Experience in game theory, system identification, mathematical programming, scheduling, queuing theory and reinforcement learning
- 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 complex and abstract concepts to internal and external stakeholders with minimum analytics knowledge
Our Offer To You:
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 groundbreaking innovations, we are reducing carbon emissions and improving energy efficiency in spaces of all sizes, from residential to commercial to industrial.
Our employees are our greatest strength. We believe that our culture of passion, openness, and collaboration empowers us to work toward the same goal - to make the world a better place. We invest in the end-to-end development of our people, beginning at onboarding and through senior leadership, so they can thrive personally and professionally.
Flexible and competitive benefits plans offer the right options to meet your individual/family needs: medical insurance plans, dental and vision coverage, 401(k), tuition reimbursement, and more. We provide employees with flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.
Together, we have the opportunity – and the power – to continue to revolutionize the technology behind air conditioning, heating, and refrigeration, and cultivate a better future.