Data Scientist - Remote

Key Skills

Java Programming, Python Programming, SQL, Agile methodologies, DevOps, Scrum Agile Methodology, Machine learning techniques, Data science techniques, MATLAB Programming, R Programming, Statistics, Data Modelling, Neural Networks, Data Engineering

Job Description

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.

FirstEnergy (NYSE: FE) is dedicated to safety, reliability and operational excellence. Headquartered in Akron, Ohio, FirstEnergy includes one of the nation's largest investor-owned electric systems, more than 24,500 miles of transmission lines that connect the Midwest and Mid-Atlantic regions, and a regulated generating fleet with a total capacity of 3,780 megawatts.

About the Opportunity

This is an open position with FirstEnergy Service Co., a subsidiary of FirstEnergy Corp. [SC00]

The ability to work remotely within the United States may be available based on business need. This option is not available in the states of California, Colorado, Illinois, Kentucky, Massachusetts, Montana, Nebraska, New York, Oregon or Washington at this time.

As a Data Scientist at FirstEnergy you will work with other data scientists and data engineers using machine learning, artificial intelligence, and statistical methods to answer critical questions and produce actionable insights for business units. A successful candidate will work on agile scrum squads and should be excited by digital enablement, innovation and new ideas, and have a passion for learning.

Our digital projects benefit the community by aiding in providing safe, reliable electricity to everyone:

• Customer: create analytics to improve customer satisfaction along the customer journey for a lifetime as they move-in to a residence, pay their bill and move to new residences.
• Transmission & Distribution: develop algorithms to detect asset failures, reduce outages and provide reliable electricity to customers.
• Smart Meter: provide customers with the electric usage they need to make smart decisions about their home as well as reduce threats and theft in the electric system.

What you’ll do:

• Develop Data Science products in an agile scrum squad, collaborating with Data Engineers, other Data Scientists and business stakeholders
• Build and test machine learning algorithms, forecasting/predictive algorithms, and optimization models
• Mine complex data to identify patterns and trends
• Perform hands-on text, quantitative, statistical, financial, and operational analysis
• Deepen understanding of utilities structure and operations to answer the right question more effectively
• Identify new data sources and evaluate emerging technologies for data discovery and model development
• Collaborates with model developers to implement and deploy scalable solutions
• Provides thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders

What You Will Need to be Qualified:

• You have a Bachlor’s degree in a quantitative disclipline (e.g., computer science, machine learning, statistics, mathematics or econometrics, economics, physics or related field) along with related 3 years of related experience. Masters, PhD are beneficial
• Your related experience should include in depth knowledge of: machine learning, statistical software and statistical techniques
• Experience with machine learning models such as decision trees, random forests, and neural networks and evaluation metrics like F1 score and ROC AUC
• Experience in at least one programming language or statistical software package such as Python, R, RapidMiner or Matlab
• Experience with linear regression modelling and other statistical techniques such as t-tests, least squares, confidence intervals
• Experience in Agile/Scrum development with DevOps methodologies geared toward rapid prototyping and piloting of cloud solutions
• Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields
• Ability to guide other colleagues and lead research efforts in a cross-functional team
• Experience in building positive relationships and working with peers cross-functionally, demonstrating teamwork and collaboration
• Willingness to travel throughout organization and service territory and work extended hours, as required