Senior Data Scientist

Job not on LinkedIn

August 29

Apply Now

Receive Emails with Similar Jobs

Amperon

WebsiteLinkedInAll Job Openings

Energy • Artificial Intelligence • SaaS

Amperon is a company that specializes in AI-powered forecasting solutions for tracking, planning, and optimizing energy needs in the evolving power markets. It provides precise electricity forecasting and analytics to enhance grid reliability, manage financial risk, optimize renewable energy use, and accelerate decarbonization efforts. Through its products, such as demand forecasts, renewable generation forecasts, and price forecasts, Amperon assists energy market stakeholders with advanced accuracy and scenario modeling. The company's technology involves data infrastructure, model optimization, and continuous learning AI algorithms, offering industry-leading forecast accuracy. Amperon is known for its seamless integration capabilities, adhering to security standards, and supporting digital transformation initiatives in the energy sector.

51 - 200 employees

⚡ Energy

🤖 Artificial Intelligence

☁️ SaaS

💰 $7M Series A on 2022-05

📋 Description

• We use machine learning and data analytics to analyze large volumes of data, uncover patterns, and make predictions that can be invaluable in the energy sector. • Our team manages deep and valuable data around energy supply and demand that can lead to more efficient and sustainable energy systems. • We are a small growing team with the opportunity to build high-velocity machine learning from scratch. • We have an office in Houston, TX but are a remote-first company.

🎯 Requirements

• Senior-level expertise with building machine learning algorithms. • Extensive experience with data collection and data processing. • Experience with data cleaning, normalization, and feature engineering to prepare the data for modeling. • Experience with time series analysis and predictive modeling. Experience with Python and other modeling tools. • Implementing data validation and cleaning processes to identify and rectify errors or inconsistencies in the incoming data. • Building advanced time series forecasting models at scale. • Creating relevant features that can improve forecasting accuracy, such as lag features, rolling statistics, and domain-specific variables. • Deploying well-performing models into a production environment. • Analyzing historical data and real-time information to determine changes in energy consumption.

🏖️ Benefits

• Competitive salary plus stock option package • Medical, dental and vision insurance • Annual company retreat • Flexible PTO policy • Remote-first