Data Scientist - Customer Service Analytics - Akron, Fairmont, Greensburg, Reading

Job-:
Data Scientist

Location:

Akron, OH, United States Workplace:
On-site

Schedule:

Full time Posted:
First Energy at a Glance We are a forward-thinking electric utility powered by a diverse team of employees committed to making customers’ lives brighter, the environment better and our communities stronger. First Energy (NYSE: FE) is dedicated to integrity, safety, reliability and operational excellence. Headquartered in Akron, Ohio, First Energy includes one of the nation's largest investor-owned electric systems, more than 24,000 miles of transmission lines that connect the Midwest and Mid-Atlantic regions, and a regulated generating fleet with a total capacity of more than 3,500 megawatts.  

About the Opportunity This is an open position with First Energy Service Co., a subsidiary of First Energy Corp. This position can be located in Akron, Fairmont, Greensburg or Reading The selected candidate may be offered a position within the same job family, at a level that is lower than what was posted. This will be determined based upon the results of the interview process which considers the candidate's skills, work history, experience level, and other relevant qualifications.

The Data Scientist on the Customer Analytics and Reporting team transforms data into actionable insights that drive strategic, operational, and customer-focused decision making across Customer Care. This role combines advanced analytics, statistical modeling, business intelligence, and data engineering practices to identify opportunities, solve complex business problems, and enhance the customer experience.

The position partners closely with business stakeholders, IT, vendors, and leadership to develop analytical solutions, build scalable data assets, and deliver data-driven recommendations. The role is also responsible for supporting data architecture, maintaining analytics-ready datasets, and ensuring adherence to data governance principles and best practices.

Key Responsibilities Analyze large and complex datasets to identify trends, customer behaviors, operational opportunities, and business insights.

Develop statistical models, forecasting solutions, segmentation frameworks, and predictive analytics to support customer and business outcomes.

Design, develop, optimize, and maintain data pipelines and transformation logic that turn raw source data into clean, analytics-ready datasets.

Develop and maintain dimensional data models and curated datasets that support Power BI reporting, self-service analytics, and advanced analytical use cases.

Partner with business stakeholders to translate business challenges into analytical solutions and actionable recommendations.

Write and optimize complex SQL queries against large-scale data platforms to support reporting, analysis, and model development.

Build dashboards, visualizations, and analytical tools that communicate findings and enable data-driven decision making.

Evaluate and monitor model performance, data quality, and analytical outputs to ensure reliability, accuracy, and business value.

Establish and promote data governance standards including documentation, data definitions, naming conventions, and version control practices.

Collaborate with IT and business partners to identify opportunities for automation, process improvement, and scalable data solutions.

Present insights, findings, and recommendations to leaders and non-technical audiences in a clear and concise manner.

Support regulatory, operational, and strategic initiatives through data analysis, reporting, and analytical research.

Required Qualifications Bachelor's degree in Data Science, Statistics, Computer Science, MIS, Mathematics, Economics, Engineering, or a related quantitative field with 5+ years of related experience.

Strong SQL skills including CTEs, window functions, and working with semi-structured data (JSON).Experience using statistical, analytical, or data science techniques to solve business problems.

Experience with modern cloud data platforms such as Databricks, Snowflake, or similar environments.

Experience building reports, dashboards, and visualizations in Power BI, Tableau, or similar BI platforms.

Proficiency in Python, R, or another analytical programming language for data analysis and model development.

Ability to translate business requirements into analytical approaches, data models, and actionable recommendations.

Strong critical thinking, problem-solving, and data storytelling skills.

Strong written and verbal communication skills…