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Data Science Intern

LG Energy Solution Vertech
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Data Science Intern

 

 

Company Overview

 

LG Energy Solution Vertech, Inc. (LGES Vertech) is a full-service energy storage system supplier and integrator. Using our core strengths of expert service to our customers, unparalleled safety, and excellence in manufacturing, we bring standardized, fully integrated energy storage systems to a rapidly growing worldwide market. Our systems address our customers' needs to reduce capital equipment and installation costs while enhancing system level performance and reliability using automated monitoring systems and analytics across the battery, power conditioning and auxiliary systems.  Our AEROS® energy operating system is the engine of innovation to provide advanced control functions allowing our customers to maximize the value of their energy storage assets.  Our service capabilities include advanced monitoring and analytics, scheduled maintenance, augmentation, and auxiliary system upgrades.  The combination of excellence in battery technology and production coupled with nearly two decades of energy storage integration makes LGES Vertech a supplier and integrator in the power and energy markets.

 

For more information about LGESVT, please visit www.lgensol-vt.com. 

 

Position Overview

LGES Vertech is looking for motivated interns/Co-op to join their Data Science and Data Analytics (DSDA) team and contribute to the ongoing exciting projects to solve some of the complex issues in the BESS. The intern will have the opportunity to work on expanding our suite of data-driven products by applying data science techniques and algorithms to provide Battery Energy Storage Systems (BESS) which are safer, highly available, and efficiently interoperate with the grid.  All while being a part of a growing company and industry.

 

Key Responsibilities

  • Be part of the Climate tech revolution and help solve the most complex problems through software engineering.
  • Bring in a strong fundamental understanding of at least some machine learning algorithms such as linear/logistic regressions, k-means clustering, and neural networks. Use these algorithms to solve complex system issues and improve system performance.
  • As a part of the data science product engineering team, interns would be working closely with team members and big contributors to the software product life cycle – development, SQA, documenting, and deploying it.
  • Engage with cross-functional teams to solicit input and update the stakeholders on the progress of the product feature development.
  • Work with time series data, analyzing huge volumes of time series data and deriving patterns and statements about what can or cannot be concluded. 

Job Requirements

 

  • Good AI/ML algorithm fundamentals and good background in statistics.
  • Available for at least 4 months of internship.
  • Internship is onsite at our Westborough office.

 

Skills and Experience:

 

Required 

  • Enrolled or graduated with a Ph.D. or MS in computer science, Data Science, Mathematics, or equivalent degree.
  • User-level experience with Git or equivalent
  • Legally authorized to work in the USA
  • Proficient in Python and standard ML tools and packages
  • Experience working in a Linux environment.
  • Familiarity with cloud platforms (AWS/Azure/Databricks/Snowflake/GCP) and containers (Docker/Kubernetes)
  • Good understanding of SW design methodologies

Preferred

  • At least 1-2 years of relevant industry experience
  • Familiarity with microservices infrastructure on the cloud