Senior Data Scientist — Energy Analytics & AI Leader

Constellation; Houston (TX); On-site; USD 131,000 - 145,000; Full time

Benefits offered by this job

Bonus program

401(k) with company match

Employee stock purchase program

Comprehensive health, dental, vision

Job summary

Constellation is seeking a data scientist to apply advanced analytics to nuclear and power-generation data, collaborating with engineers and business stakeholders to turn data into actionable insights. You will develop predictive models, validate results, and communicate findings to executives, leveraging Python/R/Scala and platforms like Spark/Databricks.

The role requires 5–8 years of experience in data science, a quantitative bachelor's degree (master's or PhD preferred), and strong

Qualifications

• Bachelor's degree in a quantitative field such as Data Science, Analytics, Applied Mathematics, Statistics, CS.
• 5-8 years of relevant experience in ML, validating results on large datasets.
• Strong knowledge in ML/AI, statistical modeling, data mining, information retrieval, or data visualization.
• Proven experience developing predictive analytics using Python, R, or Scala.
• Excellent written and verbal communication.

Responsibilities

• Develop key predictive models to reduce expenses and optimize performance.
• Analyze data using advanced analytics with Python, R, Scala, Spark, Hadoop.
• Access and analyze data from company systems; support strategic plans.
• Enrich data warehouses; build and maintain high-performance computing 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

Statistical modeling

Data mining

Information retrieval

Data visualization

Python

R

Scala

SQL

Communication

Education

Bachelor's degree (Quantitative)

Master's or PhD (Quantitative)

Tools

Databricks

Spark

Hadoop

Job description

Constellation is seeking a data scientist to apply advanced analytics to nuclear and power-generation data, collaborating with engineers and business stakeholders to turn data into actionable insights. You will develop predictive models, validate results, and communicate findings to executives, leveraging Python/R/Scala and platforms like Spark/Databricks.

The role requires 5–8 years of experience in data science, a quantitative bachelor's degree (master's or PhD preferred), and strong