Onsite Data Science Co-Op: Battery Analytics & ML

LG Energy Solution Vertech Inc

Westborough (MA)

Vor Ort

USD 41.000 - 47.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

LG Energy Solution Vertech, Inc. in Westborough, MA is seeking a Data Science Co-Op to apply data science methods to real-world battery analytics projects.

The role involves collaborating with the EMO/AI Data team to support research, build and validate ML pipelines, and present findings. Onsite internship for at least 4 months with opportunities to learn cloud platforms, Python, time-series models, and modern ML tools.

Qualifikationen

  • Pursuing or holding a graduate degree related to data science or CS.
  • Proficient in Python and ML tooling.
  • Experience with Linux and Git.
  • Familiarity with cloud platforms and containerization.
  • Experience with time-series models is required.
  • Legally authorized to work in the USA; onsite in Westborough.
  • Available for at least 4 months.

Aufgaben

  • Collaborate with Predictive Analytics to support research, EDA, and model development.
  • Use AI models to generate synthetic labels to improve ML models.
  • Research best practices for algorithms in battery analytics to guide projects.
  • Build, test, and validate ML pipelines for predictive maintenance and anomaly detection in BESS.
  • Present findings with visualizations and documentation for cross-team knowledge sharing.

Kenntnisse

Time Series models
Traditional ML
Python
Linux
Git
Cloud platforms
Containers
SW design methodologies

Ausbildung

Ph.D. or MS in Computer Science, Data Science, Mathematics, or equivalent

Tools

Docker
Kubernetes
AWS
Azure
Databricks
Snowflake
GCP

Jobbeschreibung

LG Energy Solution Vertech, Inc. in Westborough, MA is seeking a Data Science Co-Op to apply data science methods to real-world battery analytics projects.

The role involves collaborating with the EMO/AI Data team to support research, build and validate ML pipelines, and present findings. Onsite internship for at least 4 months with opportunities to learn cloud platforms, Python, time-series models, and modern ML tools.

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