Data Scientist (Mid-level - Principal)

American Electric Power•Bridgman, MI

7d•Onsite

About The Position

Responsible for conducting intermediate analysis on various data types to uncover hidden patterns and unknown correlations to support business and management decisions. This includes data mining, data auditing, aggregation, validation, and reconciliation. Build reports for management as well as conducts basic hypothesis tests (contextualize basic levels of complexity). Utilizes analytics and statistical software such as SQL, R, Python, Excel, Hadoop, Tableau, SAS, SPSS, and others to perform analysis and interpret data. Create visual dashboards. Develop moderately complex analytical tools to solve high-value business problems across AEP. Proficiently utilize analytical tools and data management skills to provide actionable business intelligence. Continue building and acquiring business knowledge across the organization and utilize knowledge to perform meaningful analyses. Identify and acquire data pertinent to solving business problems. Develop components of predictive and prescriptive systems to optimize operations and support strategic initiatives. Apply data visualization tools to large data sets to enhance data understanding. Perform research to keep abreast of industry practices. Utilize inquiry skills to obtain a clear understanding of business processes and needs. Work with stakeholders to determine value that additional information derived from proper analysis could provide. Collaborate with technology partners to develop data acquisition and data management practices. Develop concise, meaningful written reports and provide oral presentation. Develop reporting dashboards that meet business needs for status, trends, and variances. Collaborate with technology and business units to operationalize meaningful reports and dashboards of industry practices. Consult with business unit partners to identify, prioritize, and develop actionable insights, providing analyses across a variety of core business areas.

Requirements

Bachelor's degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.
Two years of relevant work experience is required for Mid-level.
Five years of relevant work experience is required for Senior.
Eight years of experience is required for Principal.
Experience with analytics packages, such as SAS, R, SPSS.
Proficient and able to direct the use of analytics packages, such as SAS, R, SPSS (for Principal).
Understands database concepts and is able to provide clear direction to staff assigned to manage data for analytics use cases (for Principal).
Established leader working in a collaborative, team-oriented environment (for Principal).
Strong problem solving and critical thinking skills (for Principal).
Excellent oral and written communication skills (for Principal).
Must establish and maintain a permanent residence within a 45-minute safe drive time to the D.C. Cook Nuclear Power Plant.

Nice To Haves

An equivalent combination of education and related experience may be considered.

Responsibilities

Conduct intermediate analysis on various data types to uncover hidden patterns and unknown correlations to support business and management decisions.
Perform data mining, data auditing, aggregation, validation, and reconciliation.
Build reports for management.
Conduct basic hypothesis tests.
Develop moderately complex analytical tools to solve high-value business problems.
Provide actionable business intelligence.
Build and acquire business knowledge across the organization.
Identify and acquire data pertinent to solving business problems.
Develop components of predictive and prescriptive systems to optimize operations and support strategic initiatives.
Apply data visualization tools to large data sets to enhance data understanding.
Perform research to keep abreast of industry practices.
Utilize inquiry skills to obtain a clear understanding of business processes and needs.
Work with stakeholders to determine value that additional information derived from proper analysis could provide.
Collaborate with technology partners to develop data acquisition and data management practices.
Develop concise, meaningful written reports and provide oral presentation.
Develop reporting dashboards that meet business needs for status, trends, and variances.
Collaborate with technology and business units to operationalize meaningful reports and dashboards.
Consult with business unit partners to identify, prioritize, and develop actionable insights, providing analyses across a variety of core business areas.