
Jr R&D Data Scientist
Eos Energy Enterprises
Virksomhedsoversigt
Eos Energy Enterprises
Edison, NJ, USA
2008
Forretningsmodel
Vedvarende Energi
Udvikling og produktion af energilagringsløsninger
Salgsindtægter fra energilagringssystemer og serviceaftaler
Lokationer & Geografi
USA, Canada, Europa, Australien, Asien
Virksomhedskultur
Deres mission er at levere bæredygtige energilagringsløsninger, der understøtter overgangen til vedvarende energi.
De fremmer et innovativt og samarbejdsvilligt arbejdsmiljø.
De tilbyder træningsprogrammer og karriereudviklingsmuligheder for medarbejdere.
Aktiviteter & Projekter
Udvikling af Znyth® energilagringssystemer, der anvendes i forskellige vedvarende energiprojekter.
De arbejder på at forbedre effektiviteten og omkostningseffektiviteten af deres energilagringsløsninger.
De fokuserer på at reducere CO2-aftryk gennem deres produkter og processer.
Karrieremuligheder
Typiske jobåbninger inkluderer ingeniører, projektledere og salgsspecialister.
De tilbyder konkurrencedygtige lønninger, sundhedsforsikring og fleksible arbejdstider.
Kontaktinformation
Sidst opdateret den 2025-09-06 | Rapporter et problem
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.
Få jobvarsler
Få påmindelser om jobs inden for Energiopbevaring i Trenton, New Jersey, USA
Om rollen
7. oktober 2025
Fuldtid
Virksomhed
7. oktober 2025
På stedet
- Trenton, New Jersey, USA
Minimum of 2 years
UTC-04:00
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