About Eos Energy Enterprises

Eos Energy Enterprises, Inc. is accelerating the shift to American energy independence with positively ingenious solutions that transform how the world stores power. Our breakthrough Znyth™ aqueous zinc battery was designed to overcome the limitations of conventional lithium-ion technology. It is safe, scalable, efficient, sustainable, manufactured in the U.S., and the core of our innovative systems that today provides utility, industrial, and commercial customers with a proven, reliable energy storage alternative for 3 to 12-hour applications. Eos was founded in 2008 and is headquartered in Edison, New Jersey. For more information about Eos (NASDAQ: EOSE), visit eose.com.

Assist R&D and Product Testing group’s efforts by building and maintaining data pipelines, dashboards, and other automated reporting infrastructure.

Responsibilities

• Maintain data infrastructure for Eos battery cycling lab, including data transfer processes, metadata database, and linux server.

• Maintain and develop R&D’s research management tool suite, including data plotting, experiment tracking, test tracking, and build & materials tracking dashboards.

• Develop and support new automated data pipelines and dashboards to support future R&D and Product Testing projects. In particular, customize and integrate data solutions for string and container level systems testing exercises at the Edison facility.

• Support custom data reporting and tracking requirements.             

• Work with R&D staff to maintain and execute development plan for build out of research support tool suite for continual improvement and to address new requirements as they arise.

Knowledge, Skills, and Abilities

• Strong general-purpose scripting skills

• Experience with data visualization

• Python strongly preferred (numerical/data packages such as Numpy, Pandas, Scipy, etc… beneficial).

• Some knowledge of SQL databases.

• Basic familiarity with Linux.

• Ability to work independently and well within a team.

• Experience with versioning tools (git) and generating documentation.

Any of the below are beneficial:

• Experience building interactive dashboards

• Experience with automated data handling systems

• Experience with plotly dash.

• Experience interfacing with physical hardware interfaces from sensors/data acquisition platforms.

Education and Experience

• Bachelor's degree in data science, computer science, statistics, or a physical science or similar required.

• Minimum of 2 years' experience.

Working Conditions

• Office Environment - Must be able to remain in a stationary position 50% of the time and occasionally move about inside the office to access file cabinets, office machinery, etc.  Required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. May be required to exert up to 25 pounds of force occasionally to lift, carry, push, pull or otherwise move objects, including the human body.