
Jr R&D Data Scientist
Eos Energy Enterprises
公司概况
Eos Energy Enterprises
美国新泽西州爱迪生
2008年
商业模式
可再生能源
开发和制造锌空气电池储能系统
产品销售、技术许可和服务
地点与地理
美国、加拿大、欧洲、亚洲和南美洲
公司文化
他们的使命是推动可再生能源的普及,致力于可持续发展和环境保护。
他们提供一个创新和协作的工作环境,鼓励员工提出新想法。
他们重视员工的职业发展,提供培训和成长机会。
活动与项目
他们正在进行多个大型储能项目,包括与公用事业公司合作的电池储能系统。
他们的锌空气电池技术在能量密度和成本效益方面具有显著优势。
他们的产品设计注重可回收性和环境影响最小化。
职业机会
他们通常招聘工程师、项目经理和销售专业人员。
他们提供竞争力的薪资、健康保险和灵活的工作安排。
联系信息
最后更新于 2025-09-06 | 报告问题
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.
Accountable For
Support Eos's software & analytics development roadmap by carrying out analysis and building algorithms & models based on telemetry from Eos's growing body of installed energy storage systems. Support Eos's manufacturing operations by carrying out analysis on Eos's manufacturing process data and in-house quality control processes.
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.
Knowledge, Skills, and Abilities
- 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.
- Strong technical writing and reporting skills.
- Basic familiarity with Linux.
- Ability to work independently and well within a team.
- Experience with timeseries telemetry data or similar preferred.
- Experience with operational data from deployed field systems, IOT systems, etc. preferred.
- Experience modelling physical systems, control systems, etc. preferred.
Education and Experience
- Bachelor's degree in data science or similar field required.
- Minimum of 2 years' experience.
Travel
- Overnight/North America: Less than 10%
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.
获取工作提醒
获取特伦顿,新泽西州,美国地区能源存储领域职位的提醒
关于这个角色
2025年10月7日
全职
公司
2025年10月7日
现场
- 特伦顿,新泽西州,美国
Minimum of 2 years
UTC-04:00
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