Data Scientist Intern (Remote)

EigenPatterns is looking for a data scientist intern to be a part of a small team that is building a real time platform for anomaly detection in large scale systems. The platform will utilize real time data, advanced machine learning and agent interfaces to deliver scalable and real time decisioning. As a key member of the team you will be responsible for building and testing anomaly detection and pattern classification models on real time data.

We offer a competitive salary.

• Four year undergraduate degree in computer science, mathematics or engineering

• Masters degree in computer science, mathematics, operations research or statistics

• Prior experience in developing models and analytics using Python, a strong plus

• Demonstrated understanding of statistical modeling and optimization techniques

• Demonstrated ability to develop production quality code

• Prior experience with large scale data analytics and algorithms that can be executed in real time, is a strong plus

You will be responsible for building and deploying a scalable and real time detection engine. Key responsibilities include:

• Working with the product team and engineers to understand the business specifications

• Create Python/Spark libraries to accurately detect anomalies and patterns in time series data

• Working with a skilled and experienced team to develop and test different modeling and statistical pattern recognition approaches, and benchmark performance

• Create simulated datasets and set up environments to simulate processing of real time data and measure performance and accuracy

• Work with the engineering team to deploy libraries and test execution as part of a real time service

• Create basic reporting and visualization to output results of algorithms

• Create and maintain code versions on GitHub

• Work with customers to deploy and optimize services.

We are an early stage startup based in the San Francisco Bay area. EigenPatterns develops collaborative anomaly detection and pattern recognition systems that blend machine learning and human insight, to deliver powerful real-time monitoring capabilities. We are a recipient of the prestigious National Science Foundation grant and are making energy safer for millions of people.

EigenPatterns is led by a skilled team with world-class expertise and decades of experience in statistical algorithm development, technology and software engineering, an extensive publication record in leading journals. Built and deployed large-scale data and analytical services at companies like American Express and eBay/PayPal.