Associate Data Scientist: Energy Analytics & ML

Delmarva Power & Light Co.

Oakbrook Terrace (IL)

On-site

USD 59,000 - 81,000

Full time

3 days ago
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Benefits offered by this job

401(k) match
Medical, dental and vision insurance
Paid time off

Job summary

Exelon is seeking a Data Scientist in Oak Brook Terrace, IL to apply scientific methods to extract insights from time-series and structured/unstructured data. You will train state-of-the-art models and deploy them in production using MLOps practices.

You will collaborate with data engineers, project managers, and IT partners to turn data into analytics-driven products and inform decision making. Extended hours may be required during storms.

Qualifications

  • Bachelor's or Master's degree in a quantitative discipline such as Applied Math, CS, OR, Physics or Statistics.
  • Intern experience in data science or research applying analytic techniques to large datasets.
  • Strong knowledge in two or more areas: ML/AI/statistical modeling/data mining/visualization.
  • Experience with analytics platforms and Python/SQL; big data tech like Spark, Dask.

Responsibilities

  • Develop predictive models to improve customer experience, operational performance and safety.
  • Analyze data with modern analytics frameworks (Python, R, Scala) and big data tools (Spark, Hadoop).
  • Access and analyze data from various company systems; support strategic plans.
  • Provide analytics support to multiple business units.
  • Access and enrich data warehouses; build/maintain HPC systems.

Skills

Machine learning
Data science
Statistical modeling
Python
SQL
Communication
Azure
Big data

Education

Bachelor's or Master's degree in quantitative field

Tools

Spark
Hadoop
Dask

Job description

Exelon is seeking a Data Scientist in Oak Brook Terrace, IL to apply scientific methods to extract insights from time-series and structured/unstructured data. You will train state-of-the-art models and deploy them in production using MLOps practices.

You will collaborate with data engineers, project managers, and IT partners to turn data into analytics-driven products and inform decision making. Extended hours may be required during storms.

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