Senior Data Scientist — Energy Analytics & ML

Constellation; De Pere (WI); On-site; USD 131,000 - 145,000; Full time

Job summary

Constellation in Wisconsin seeks a data scientist to apply advanced analytics to power-generation data, including time-series and large-scale datasets. You will collaborate with stakeholders to translate data into critical business insights and drive decision making.

The role emphasizes building predictive models using Python, R, Scala, and Spark, with exposure to big data tools and cross-functional collaboration across teams. A strong communication skillset is essential.

Qualifications

• Education: Bachelor's degree in a quantitative discipline (Data Science, Data Analytics, Applied Math, Statistics, CS, OR, or related).
• Experience: 5-8 years developing hypotheses, applying ML algorithms, and extracting insights from large datasets.
• Analytical Abilities: Knowledge in at least two areas: ML, AI, statistical modeling, data mining, information retrieval, or data visualization.
• Technical Knowledge: Proven experience in developing and deploying predictive analytics using Python, R, Scala, etc.
• Communication Skills: Ability to translate analyses into clear conclusions and actionable recommendations to partners and executives.

Responsibilities

• Develop key predictive models to reduce costs in nuclear, performance, and optimization areas.
• Analyze data using advanced analytics with Python, R, Scala, Spark, Hadoop, and related tools.
• Access and analyze data from various 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 and analytics teams to translate business needs into data science projects.

Skills

Python

R

Scala

Data visualization

Communication

Education

Bachelor's degree in quantitative field

Masters or PhD preferred

Tools

Spark

Hadoop

Databricks

SQL

Job description

Constellation in Wisconsin seeks a data scientist to apply advanced analytics to power-generation data, including time-series and large-scale datasets. You will collaborate with stakeholders to translate data into critical business insights and drive decision making.

The role emphasizes building predictive models using Python, R, Scala, and Spark, with exposure to big data tools and cross-functional collaboration across teams. A strong communication skillset is essential.