Data Scientist: Innovation & Digital Factory

Socket.dev; Akron (OH); On-site; USD 110,000 - 150,000; Full time

Job summary

FirstEnergy is seeking a Data Scientist to work in agile squads with data engineers and business stakeholders. You will build ML models, forecasting algorithms, and optimization solutions using diverse data types, including geospatial and streaming data.

The role emphasizes hands-on analysis, exploration of new data sources, and deploying scalable data solutions while collaborating with cross-functional teams to deliver actionable insights that support safe, reliable electricity across our

Qualifications

• Bachelor’s degree in quantitative discipline such as Computer Science, Machine Learning, Applied Statistics, Mathematics; Masters, PhD are beneficial.
• Experience with ML models and evaluation metrics (F1, ROC AUC).
• Experience in Python; familiarity with Spark beneficial.
• Agile/Scrum development with DevOps for cloud prototyping.

Responsibilities

• Develop DS products in an agile squad with Data Engineers and business stakeholders.
• Build and test machine learning, forecasting, and optimization models.
• Transform and model tabular, text, streaming, geospatial and large-volume data.
• Perform hands-on text, quantitative, and statistical analyses.
• Identify data sources and evaluate emerging technologies for data discovery.
• Collaborate to implement and deploy scalable data solutions.
• Lead research efforts and share best practices across the team.

Skills

Machine Learning

Python

Agile/Scrum

Communication

Leadership

Travel readiness

Education

Bachelor's degree in quantitative field

Master's or PhD beneficial

Tools

Apache Spark

Job description

FirstEnergy is seeking a Data Scientist to work in agile squads with data engineers and business stakeholders. You will build ML models, forecasting algorithms, and optimization solutions using diverse data types, including geospatial and streaming data.

The role emphasizes hands-on analysis, exploration of new data sources, and deploying scalable data solutions while collaborating with cross-functional teams to deliver actionable insights that support safe, reliable electricity across our