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Full-Time

Data Scientist

Confirmed live in the last 24 hours

Gridmatic

Gridmatic

11-50 employees

AI-driven optimization for renewable energy assets

Energy
AI & Machine Learning

Compensation Overview

$150k - $210kAnnually

Mid

Cupertino, CA, USA

Hybrid policy requires 2 to 3 days in-office per week.

Category
Data Science
Data & Analytics
Required Skills
Python
Data Science
Data Analysis
Requirements
  • 3 - 5 years’ experience as a Data Scientist or Data Analyst.
  • Understanding of machine learning and experience working with ML engineers.
  • Experience with querying, data quality, analytics, and visualization.
  • Coding experience (Python). Experience in tool development and systems automation.
  • Strong math skills (e.g. statistics, algebra). Problem-solving aptitude.
  • Excellent communication and presentation skills.
  • BSc/BA in Computer Science, Math, Statistics, Engineering, Economics, or relevant field; graduate degree in Data Science or other quantitative field is preferred.
  • Comfort working in a research-oriented group with several ongoing concurrent projects as well as business and go-to-market efforts.
  • Knowledge of electricity markets is a strong plus.
Responsibilities
  • Work as a data strategist, collaborating with engineering to integrate datasets to support Gridmatic growth.
  • Fetch and transform data from various domestic and international energy markets.
  • Evaluate and backtest various risk policies across Gridmatic's lines of business.
  • Set up simulations and pricing analysis for new customers.
  • Present information using data visualization techniques.
  • Contribute production level code to automate analyses.
  • Analyze electricity market data to develop industry reports and white papers.

Gridmatic optimizes the performance and profitability of renewable energy assets using artificial intelligence. The company serves three main types of clients: renewable energy generators, storage operators, and consumers of renewable energy. For energy generators, Gridmatic predicts energy prices and manages risks to enhance profitability in electricity markets. For storage operators, it optimizes revenue and minimizes risks associated with battery systems. For consumers, Gridmatic helps reduce energy costs and meet procurement goals, making clean energy more accessible. The company combines technology with market expertise, using advanced algorithms and machine learning to predict market trends and optimize energy transactions. Gridmatic's goal is to accelerate the adoption of clean energy and contribute to decarbonizing the energy grid.

Company Stage

N/A

Total Funding

$46M

Headquarters

Cupertino, California

Founded

2020

Growth & Insights
Headcount

6 month growth

31%

1 year growth

43%

2 year growth

39%
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Simplify's Take

What believers are saying

  • The recent $50 million fundraising for its energy storage fund indicates strong investor confidence and potential for significant growth.
  • Gridmatic's AI-driven approach can lead to substantial cost savings and increased profitability for clients, making it an attractive workplace for those interested in impactful technology.
  • The company's mission to accelerate clean energy adoption aligns with global sustainability goals, offering employees a sense of purpose and contribution to climate change mitigation.

What critics are saying

  • The reliance on AI and machine learning models means that any inaccuracies in predictions could lead to financial losses for clients.
  • The clean energy sector is highly competitive, and Gridmatic must continuously innovate to maintain its edge.

What makes Gridmatic unique

  • Gridmatic leverages advanced AI to optimize renewable energy assets, setting it apart from traditional energy management firms.
  • The company's focus on both energy generation and storage optimization provides a comprehensive solution that many competitors lack.
  • Gridmatic's ability to predict market trends and manage risks offers a unique value proposition in the clean energy sector.

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