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Gridware

Applied Science Lead, Data Opportunities

Summary: Join Gridware as an Applied Science Lead in the Bay Area, USA, and play a crucial role in enhancing the electrical grid's safety and reliability. You will evaluate and develop models using diverse data types, conducting exploratory data analysis and collaborating with cross-functional teams. Ideal candidates have experience in data product development and machine learning. Enjoy working in a dynamic climate-tech environment with top-tier investors.
Gridware
Gridware
Bay Area, United States   On-site   Full Time  UTC-08:00   11-50   41 days ago

Gridware

Company Overview

Gridware

California, United States

2018

Business Model

Technology / Energy

Development of advanced monitoring solutions for electrical grids.

Sales of monitoring hardware and software solutions, subscription services for data analytics.

Locations & Geography

United States, Canada, Mexico, Germany, Australia

Company Culture

Their mission is to enhance the reliability and efficiency of electrical grids through innovative technology.

They promote a collaborative and inclusive work environment that encourages innovation.

They offer training programs and workshops to support continuous learning and professional growth.

Activities & Projects

They are currently working on a project to implement AI-driven analytics for grid performance optimization.

They have developed a unique sensor technology that provides real-time data on grid conditions.

They focus on creating solutions that reduce energy waste and improve grid sustainability.

Career Opportunities

Typical job openings include software engineers, data analysts, and project managers.

They offer competitive salaries, health benefits, and flexible work arrangements.

Contact Information

LinkedIn

Careers at Gridware


Last updated on 2025-01-31 | Report an issue

Job Description

Gridware exists to enhance and protect the mother of all networks: the electrical grid. The grid touches everything, and when it grinds to a halt, the consequences can be dire: wildfires burn, land is destroyed, property is damaged, progress stops, and lives are lost.

Our team engineers an advanced sensing system to continuously analyze both the electrical and mechanical behavior of grid assets. Utilizing high-precision sensor arrays, the system identifies and allows preemptive mitigation of faults. The technology has been proven with utilities to bolster safety, reliability, and reduce customer outage durations. The demand for power will only increase. We protect the grid of today while we build the grid of tomorrow.

Gridware is privately held and backed by the best climate-tech and Silicon Valley investors. We are headquartered in the Bay Area in northern California.

Gridware is seeking a creative and fast-paced applied science lead to join our growing team. At Gridware, you will be responsible for evaluating and developing models utilizing a variety of time series, categorical, and graph data from the physical world. The ideal candidate will possess deep knowledge of machine learning, data science, and product development.

Responsibilities

  • Execute exploratory data analysis and proof-of-feasibility/concept for new data products using new or existing data
  • Validate and warehouse highly disparate data sources for prototyping applications
  • Conduct literature reviews and research on large-scale sensor fusion and technical model validation
  • Work closely with cross-functional teams, including research engineers, sales, and product

Required Skills

  • 1+ years of leading technical teams at the intersection of data science and physical science
  • 2+ years of professional experience with data product development and nascent applications
  • 4+ years of professional experience with production machine learning models
  • 4+ years of research experience
  • Strong fundamentals in physical modeling and data science

Most relevant to people with degrees in:

  • Computer Science
  • Data Science
  • Statistics/Mathematics
  • Physics/Bio/Chem

About the role

January 7, 2025

Full Time

Company

Gridware

July 2, 2025

On-site

  •  Bay Area, United States

Mid-level to Senior-level

UTC-08:00

Apply now

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