Data Scientist

Type: Full time

Location: USA

Energybox is a leading, global IoT Automation & Solutions Company. We help multi-site customers automate their operations, reduce costs and improve sustainability. We provide an integrated IoT platform which includes proprietary sensors, controls, software and AI to monitor, automate and optimize facilities, equipment and processes.

Energybox is seeking a high-energy, self-motivated individual to join as a Data Scientist in our Nashville, TN headquarters. The candidate will have the opportunity to work with a world class international team that is revolutionizing the way people live with energy. The candidate will be integral in a wide variety of global projects ranging from product launches to branding initiatives.

Required Person’s Mindset:

  • Strong leadership, flexibility, excellent interpersonal and communication skills
  • Assertive, well-organized, analytical, with good problem-solving skills
  • Teamplayer within a company that rewards competence, performance and teamwork
  • Drive to excel and result orientation
  • Innovation and focused on efficiency and simplicity 

About Your Job:

  • Develop pipelines to manage in-house data and unstructured external data with python, pandas, SQL and other tools 
  • Maintain and enhance existing analytics feature on our IOT platform under software development principle and process
  • Research data analytics methodologies leveraging in-house data and external data
  • Develop innovative features to drive energy efficiency and optimize operations for our customers
  • Collaborate with our platform development team to create algorithms to generate powerful insights from medium frequency energy data
  • Deliver data insights to drive meaningful, actionable decisions
  • Produce high quality deliverables based on thorough understanding of business requirements
  • Report to the COO

About You: 

  • Degree in Computer Science, Engineering, Math, Statistics or related disciplines
  • 3+ years working experience in data science and machine learning
  • Proficiency with in Python and pandas
  • Experience with machine learning and predictive modeling
  • Experience with energy data preferred 
  • Experience with software development including code writing that is reusable, well documented and that optimizes runtime, unit tests and manages development environments
  • Experience with developing and maintaining APIs
  • Experience with energy efficiency and cooling/heating systems is highly desirable
  • Proficiency with Github for version control
  • Leadership competences and business/customer projects experience is a must 

Energybox is proud to be an equal employment opportunity workplace. 

Please submit your resume to