Data Science Intern

Key Skills

Keras software library, Machine learning techniques, Python Programming, PyTorch, XGBoost

Job Description

Do you want to work with high caliber professionals in a dynamic and growing company. Are you entrepreneurial, hard-working, and collegial. Are you committed to advancing the clean energy revolution. Join us at SB Energy, a world-leading company backed by SoftBank and Ares pairing cutting-edge innovation with best-in-class execution. Our Mission is to provide flexible renewable energy at scale, accelerating the global energy transition and benefiting our planet, customers, communities, and people.

SB Energy develops, constructs, and owns & operates some of the largest and most technically advanced renewable projects across the United States, with headquarters in Redwood City, CA. The company was launched in 2019 and has quickly become one of the largest solar and storage developer/IPPs in the U.S. With almost 3 gigawatts (GW) of renewable energy projects in operation or under construction and a multi-GW pipeline, SB Energy is building the renewable energy future – today. SB Energy also utilizes its strong culture of innovation to identify and incorporate new technology into our projects, including our AI-based digital platform, to deliver renewable energy that is local, reliable, and matched to load.

Come join us in accelerating the energy transition to cleaner, more sustainable sources of power!

SB Energy Summer Internships!

Are you looking for an internship to jumpstart your career? If so, you have come to the right place! SB Energy has exciting summer internship opportunities. We are currently searching for students or alumni interested in gaining hands-on experience at a fast-paced and innovative renewable energy company. Our mission is to provide flexible renewable energy at scale, accelerating the global energy transition and benefiting our planet, customers, communities, and people. Our internships have a specific focus, but often get broader exposure to SB Energy's business, gaining insight into different areas of the company and the renewable energy industry.

Benefits Of a SB Energy Internship 

• Apply skills and knowledge learned in the classroom to on-the-job experiences
• Comprehensive, value-added project(s) 
• Work in teams and with cross-functional colleagues in a professional environment 
• Develop technical skills specific to your major 
• Gain opportunities for professional development by building relationships and learning from industry professionals in a live business environment
• Final project summary presentation to the team 

The Data Science Intern will be responsible for creating an automated pipeline to benchmark our energy forecasting model performance periodically, thereby enabling continuous improvement in our predictive accuracy and operational efficiency. The successful intern will also play a crucial role in developing and implementing machine learning models for forecasting, with a focus on ISO load forecasting and wind generation forecasting.

Responsibilities

• Design and implement an automated pipeline to systematically benchmark the performance of weather and energy forecasts from various sources. This includes ingestion of data from data sources using APIs, identifying/processing data quality issues, data cleaning, and developing metrics for the accuracy, reliability, and efficiency of forecasts.
• Applying backtesting/validation methods to assess the accuracy of the forecast model performance using different date ranges, events, and scenarios (Monte-Carlo simulation) in the historical data.
• Utilize machine learning algorithms to create accurate and reliable ISO-wide or regional load forecast and wind generation forecasts. This involves collecting and processing historical weather and wind generation data, selecting appropriate ML models, training the models, and continuously improving their accuracy. Conduct comprehensive data analyses to identify patterns, trends, and anomalies in weather and energy data.
• Evaluate the performance of forecasting models using statistical methods 

Skills And Experience

• Bachelor’s degree (ongoing) in computer science, data science, mathematics, statistics or a related field
• Experience with Python and basic libraries for machine learning such as scikit-learn and pandas.
• Experience with machine learning and deep learning frameworks such as XGBoost, PyTorch, or Keras
• Experience with cloud-based ML AI services.
• Experience using frameworks to automate, accelerate, and sustain the machine learning lifecycle.

Location: Redwood City, CA. We have a hybrid office and remote work set up.