Data Scientist I / Data Scientist II / Senior Data Scientist - PPL Corporation

Company Summary Statement :As one of the largest investor-owned utility companies in the United States, PPL Corporation (NYSE: PPL), is committed to creating long-term, sustainable value for our 3.5 million customers, our shareowners and the communities we serve. Our high-performing regulated utilities — PPL Electric Utilities, Louisville Gas and Electric, Kentucky Utilities and Rhode Island Energy — provide an outstanding experience for our customers, consistently ranking among the best utilities in the nation. PPL’s companies are also addressing challenges head-on by investing in new infrastructure and technology that is creating a smarter, more reliable and resilient energy grid. We are committed to doing our part to advance a cleaner energy future and drive innovation that enables us to achieve net-zero carbon emissions by 2050 while maintaining energy reliability and affordability for the customers and communities we serve. PPL is a positive force in the cities and towns where we do business, providing support for programs and organizations that empower the success of future generations by helping to build and maintain strong, diverse communities today.Overview:

The Data Scientist designs and implements processes and layouts for complex, large-scale data sets used for predictive modeling, data mining and research purposes.  They work with the business stakeholders to identify data requirements, and both model and frame business scenarios that are meaningful and impact critical business decisions.

 

MUST HAVE EXPERIENCE WITH GIS TO BE CONSIDERED FOR THIS ROLE.

 

**Please note this position is Remote.

Responsibilities:

Business Alignment and Thought Leadership:

• Work with the business stakeholders to identify data requirements.
• Model and frame business scenarios that are both meaningful and impact critical business processes and/or decisions.
• Effectively communicate complex technical data results to target audience.

Data Collection and Integration:

• Parse and manipulate raw, complex data streams to prepare for loading into an analytical tool.
• Perform end-to-end data set identification, development, and implementation.
• Work with Data Analysts / Technologists to support data collection, integration and retention requirements based on the input collected with the business.
• Gather and process data from the Transmission, Distribution, Customer Service, and EU Service functions, and transform them into data products.
• Design and implement statistical data quality procedures around new data sources.
• Develop and implement data set processes and layout.

Discovery and Statistical Analysis:

• Implement data formulation process, including identification of attributes, exploratory data analysis, data transformation, and temporal data structures.
• Perform statistical analyses with both new and existing data sets in statistical packages.
• Understand the use and ability to employ the appropriate algorithms to discover patterns.
• Apply best available practices for artificial intelligence and machine learning.

Reporting:

• Implement ongoing improvements to methods and algorithms that lead to findings, including new information.
• Guide /collaborate with Data Visualization Technologists to visualize and report data findings creatively in a variety of visual formats that appropriately provide insights to the business.

Data Governance:

• Ensure that the information used follows the compliance, access management and control policies of the organization. Physical presence in the office/on-site to engage in face-to-face interaction and coordination of work among direct reports and co-workers. May be assigned an Electric Utilities emergency and storm role. This is a special assignment that comes into play during storms and other emergencies when the company needs to restore power or respond to other issues affecting customer service. This role may necessitate the need to work after-hours, outside of your normal schedule.

Qualifications:

 

Basic Qualifications:  Data Scientist I

• Bachelors Degree in Data Science, Data Analytics, Computer Science or Mathematics.
• Able to understand various data structures and common methods in data transformation.
• Excellent pattern recognition and predictive modeling skills.
• Experience with object-oriented programming languages such as Python.
• Knowledge of industry-leading data quality and data protection management practices.
• Proven ability to prioritize and execute tasks.
• Highly self-motivated and directed with attention to detail.
• Easily adapts to changing circumstances.
• Able to understand business goals and strategic priorities.

Preferred Qualifications:  Data Scientist I

• Two (2) years experience with data mining and statistical analysis
• Experience building and running machine learning algorithms
• Experience supporting fast-changing business organizations

Basic Qualifications:  Data Scientist II

• Bachelor's degree in Data Science, Data Analytics, Statistics, Computer Science, Mathematics or related field related field and 1 year experience with data mining and statistical analysis.
• Experience with predictive modeling and machine learning algorithms.
• Able to understand various data structures and common methods in data transformation.
• Experience with object-oriented programming languages such as Python.
• Knowledge of industry leading data quality and data protection management practices.
• Proven ability to prioritize and execute tasks.
• Highly self-motivated and directed with attention to detail.
• Easily adapts to changing circumstances.
• Able to understand business goals and strategic priorities.

Preferred Qualifications:  Data Scientist II

• Masters degree.
• Five (5) years experience with SAS, ETL, data processing, database programming and data analytics.

Basic Qualifications:  Senior Data Scientist 

• Bachelors Degree in Data Science, Data Analytics, Statistics, Computer Science, Mathematics or related field and 5 years experience with SAS, ETL, data processing, database programming and data analytics.
• Extensive background in data mining and statistical analysis.
• Able to understand various data structures and common methods in data transformation.
• Experience with object-oriented programming languages such as Python.
• Knowledge of industry leading data quality and data protection management practices.
• Proven ability to prioritize and execute tasks.
• Highly self-motivated and directed with attention to detail.
• Easily adapts to changing circumstances.
• Able to understand business goals and strategic priorities.
• Experience with predictive modeling and machine learning algorithms.
• Knowledge of data governance practices, business and technology issues related to management of enterprise information assets, and approaches related to data protection.
• Knowledge of data related government regulatory and emerging trends and issues;

Preferred Qualifications:  Senior Data Scientist

• Masters Degree.
• Five (5) years experience with SAS, ETL, data processing, database programming and data analytics.
• GIS Analytics experience.