Data Scientist

Build a bright future with a Southern Company career.

Atlanta, GA

Data Scientist (All Levels)

JOB SUMMARY:

This position develops and applies advanced analytics, machine learning, AI, and modern data engineering practices to support structured pricing products, forecasting, valuation, and enterprise data platforms. The role designs, builds, and maintains analytical models, scalable data pipelines, curated data assets, and AI-enabled tools that deliver timely, accurate insights and automation. The position is accountable for improving data quality, platform reliability, model performance, governance, explainability, and scalability across markets, and partners across the enterprise to deploy secure, production-ready data, analytical, and AI solutions.

This position may be filled under the following Grade Levels:
Data Scientist (GL – 04), Senior Data Scientist (GL – 05), Staff Data Scientist (GL – 06), or Principal Data Scientist (GL – 07). Individuals who demonstrate advanced skills in work experience, education, and certifications may be eligible for the more advanced position.

JOB REQUIREMENTS: (Education, Experience, Knowledge, Skills )

Data Scientist (Level 04)

Education

• Required:
  
  Bachelor’s degree in a quantitative field (e.g., mathematics, statistics, economics, data science, computer science, or similar).
• Preferred:
  Master’s degree (or in progress) in a quantitative discipline

Experience

• 0-2 years of experience (including internships/co-ops) in analytics, data, or modeling.
• Preferred:
  Exposure to energy/utility markets or pricing/forecasting concepts (through coursework or experience).
• Preferred:
  Exposure to Databricks, Spark, Azure, or similar modern data and analytics technologies through coursework, internships, or work experience.

Knowledge/Skills

• Working knowledge of SQL and relational databases (e.g., SQL Server, Oracle, MySQL).
• Hands-on programming for analysis (Python or R) and basic ML/statistical modeling.
• Ability to follow established standards for documentation, validation, and reproducibility.
• Able to communicate results clearly to technical and non-technical stakeholders.
• Basic understanding of data engineering concepts, including data pipelines, data quality validation, and cloud-based analytics platforms.
• Ability to develop or support reusable data transformations and follow established data engineering standards.

Senior Data Scientist (Level 05)

Education

• Required:
  
  Bachelor’s degree in a quantitative field (e.g., mathematics, statistics, economics, data science, computer science, or similar).
• Preferred:
  Master’s degree in analytics, statistics, data science, computer science, or similar.

Experience

• 3-5 years' experience in analytics/modeling and data processing
• Demonstrated ability to build and manage models in a business environment.
• Experience working with large data using SQL and modern analytics platforms (e.g., Databricks/Spark/Azure/AWS).
• Experience developing and maintaining production data pipelines using Databricks, Spark, Azure Data Factory, or comparable cloud technologies.

Knowledge/Skills

• Strong programming skills in Python or R; solid SQL proficiency.
• Experience with feature engineering, model evaluation, and performance tuning.
• Experience with dashboards/visualizations (e.g., Power BI, Tableau, SSRS) to communicate insights.
• Strong understanding of data governance basics (access, quality checks, and documentation).
• Understanding of modern data engineering practices, including data ingestion, transformation, orchestration, data quality monitoring, and pipeline automation.
• Experience building reusable, curated datasets and supporting production analytics environments.

Staff Data Scientist (Level 06)

Education

• Required:
  
  Master’s degree in…