Georgia Transmission Corporation
Senior Data Scientist
Georgia Transmission Corporation, Tucker, Georgia, us, 30085
The Senior Data Scientist at GTC will mine the data in the company's data warehouse to identify opportunities to leverage company data to drive optimization and improvement of decision-making and business strategies. This role will design innovative approaches to test existing and traditional understandings of the business, identify patterns in structured and unstructured data, using prescriptive and predictive analytics to develop forecasting models and develop recommendations to drive business performance. They will also work with stakeholders throughout the organization to identify opportunities to drive business solutions. They will develop processes and tools to monitor and analyze model performance and data accuracy. It will be instrumental in leading the use of analytics as a critical value driver across the organization.
Education:
Graduate Degree in mathematics, computer science, statistics or other quantitative field.
Experience:
Three (3) to six (6) years as a data scientist preferably with an electric utility or power systems environment.
Equivalent Experience:
Bachelor's Degree in mathematics, computer science, statistics or related field with five to eight (5-8) years as a data scientist preferably with an electric utility or power systems environment.
Specialized Skills:
Knowledge of a variety of statistical and machine learning techniques (linear regression models, generalized additive regression model, clustering, decision tree learning, artificial neural networks, etc.)Technologies (MLflow, Tensorflow, etc.), SHAP values and their real-world advantages/drawbacks is a plus.Strong programming skills in Python or PySpark are required.A background in R and SAS is also nice to have.Experience with Databricks, Synapse Analytics, or a similar Apache Spark platform is preferred.Familiarity with Microsoft Azure and SQL Server is beneficial.Excellent communication skills and ability to present complex technical concepts to non-technical stakeholders.Experience with data visualization tools such as Power BI or Tableau.A drive to learn and master new technologies and techniques.
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Education:
Graduate Degree in mathematics, computer science, statistics or other quantitative field.
Experience:
Three (3) to six (6) years as a data scientist preferably with an electric utility or power systems environment.
Equivalent Experience:
Bachelor's Degree in mathematics, computer science, statistics or related field with five to eight (5-8) years as a data scientist preferably with an electric utility or power systems environment.
Specialized Skills:
Knowledge of a variety of statistical and machine learning techniques (linear regression models, generalized additive regression model, clustering, decision tree learning, artificial neural networks, etc.)Technologies (MLflow, Tensorflow, etc.), SHAP values and their real-world advantages/drawbacks is a plus.Strong programming skills in Python or PySpark are required.A background in R and SAS is also nice to have.Experience with Databricks, Synapse Analytics, or a similar Apache Spark platform is preferred.Familiarity with Microsoft Azure and SQL Server is beneficial.Excellent communication skills and ability to present complex technical concepts to non-technical stakeholders.Experience with data visualization tools such as Power BI or Tableau.A drive to learn and master new technologies and techniques.
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