Senior Data Scientist: Energy Analytics & ML Leader

Constellation; Baltimore (MD); On-site; USD 131,000 - 145,000; Full time

Job summary

Constellation is seeking a data scientist to apply data analytics and machine learning across power generation data to drive insights and cost reductions. You will collaborate with stakeholders, engineers, and IT partners to translate complex data into actionable business decisions.

The role requires 5–8 years of experience in analytics and ML, strong Python/R skills, and a track record of delivering impactful data-driven solutions in a large organization.

Qualifications

• Education: Bachelor's degree in a Quantitative discipline (Data Science, Data Analytics, etc.).
• Experience: 5–8 years applying machine learning algorithms to large datasets and extracting insights.
• Analytical Abilities: Knowledge in ML/AI, statistical modeling, data mining or data visualization.
• Technical Knowledge: Proficiency in Python, R, Scala or similar languages.
• Communication: Ability to translate analyses into actionable recommendations for executives and business partners.

Responsibilities

• Develop predictive models to reduce costs in nuclear, performance, and optimization metrics.
• Apply advanced analytics to support process improvements using Python, R, Scala, Spark or Hadoop.
• Access and analyze data from company systems to support strategic plans.
• Enrich data warehouses and maintain high-performance computing environments.
• Provide analytics support to multiple business units and stakeholders.
• Collaborate with analytics teams to advance data science capabilities across the organization.

Skills

Machine learning

Statistical modeling

Data mining

Data visualization

Python

R

SQL

Communication

Education

Bachelor's degree in a Quantitative discipline

Masters or PhD in a Quantitative discipline

Tools

Databricks

Job description

Constellation is seeking a data scientist to apply data analytics and machine learning across power generation data to drive insights and cost reductions. You will collaborate with stakeholders, engineers, and IT partners to translate complex data into actionable business decisions.

The role requires 5–8 years of experience in analytics and ML, strong Python/R skills, and a track record of delivering impactful data-driven solutions in a large organization.