Eos Energy Enterprises is looking to support its software & analytics development roadmap by analyzing telemetry from its energy storage systems and manufacturing process data to optimize operations and quality control.
Requirements
- Strong general-purpose scripting skills
- Background in mathematics and statistics.
- Experience developing machine learning models.
- Python strongly preferred (numerical/data packages such as Numpy, Pandas, Scipy, etc… beneficial).
- Some knowledge of SQL databases.
- Basic familiarity with Linux.
- Experience with timeseries telemetry data or similar preferred.
Responsibilities
- Conduct analyses, build models, and develop tools to support Eos in managing and optimizing the operation of its growing fleet of installed energy storage systems, using both traditional analysis and machine learning techniques.
- Carry out analyses as needed to support other teams such as field service, operations, product testing, & manufacturing.
- Support development of infrastructure to automate and integrate any developed models & algorithms and their derived learnings.
- Communicate findings to other stake holders in the form of presentations, reports, browser-hosted dashboards to disseminate findings.
- Create derived documentation or training materials as needed.
Other
- Bachelor's degree in data science or similar field required.
- Minimum of 2 years' experience.
- Overnight/North America: Less than 10%
- Ability to work independently and well within a team.
- Strong technical writing and reporting skills.
