Senior Data Scientist — Power & Energy Analytics Leader

Constellation; Hurstbourne Acres (KY); On-site; USD 131,000 - 145,000; Full time

Job summary

Constellation seeks a data science professional to apply advanced analytics, machine learning, and statistical methods on large datasets (terabytes to petabytes) to drive actionable insights for power generation and operations.

You will collaborate with engineers, IT and business units to turn data into strategic decisions, while continuing professional development in AI and data-mating techniques.

Qualifications

• Bachelor's degree in a quantitative discipline (Data Science, Data Analytics, Applied Mathematics, Statistics, Computer Science, OR related field).
• 5–8 years of relevant experience developing hypotheses, applying ML algorithms, and analyzing large datasets to extract insights.
• Strong knowledge in two or more areas: ML, AI, statistical modeling, data mining, information retrieval, or data visualization.
• Proven experience with developing and deploying predictive analytics using Python, R, or Scala.

Responsibilities

• Develop key predictive models to reduce annual expenses and optimize performance criteria.
• Analyze data using advanced analytics techniques with Python, R, Scala, Spark, and Hadoop.
• Access and analyze data from company systems; support strategic business and program plans.
• Enrich data warehouses; build, monitor, and maintain HPC systems.
• Provide expert data and analytics support to multiple business units.
• Collaborate with stakeholders to translate business needs into data science projects.

Skills

Machine learning

Artificial intelligence

Statistical modeling

Data mining

Information retrieval

Data visualization

Python

R

Scala

Communication skills

Education

Bachelor's degree in quantitative discipline

Master's or PhD in quantitative discipline

Tools

Spark

Hadoop

Job description

Constellation seeks a data science professional to apply advanced analytics, machine learning, and statistical methods on large datasets (terabytes to petabytes) to drive actionable insights for power generation and operations.

You will collaborate with engineers, IT and business units to turn data into strategic decisions, while continuing professional development in AI and data-mating techniques.