Data Scientist

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.

This job posting does not support visa sponsorship or Optional Practical Training (OPT)

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 presentations. 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.

• Education:
  
  Bachelors degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.
• Experience:
  
  2 years of relevant work experience is required. An equivalent combination of education and related experience may be considered.
• Strong knowledge in SQL Database Management, Power BI, People Soft, Cognos Business Intelligence, and Variance analysis with prior utility company experience.

Experience with analytics packages, such as SAS, R, SPSS

Compensation Data Compensation Grade: SP20-007 Compensation Range: $87,633.00 - $

The Physical Demand Level for this job is: S – Sedentary Work:
Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently. (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time.

Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.

It is hereby reaffirmed that it is the policy of American Electric Power (AEP) to provide Equal Employment Opportunity in all respects of the employer-employee relationship including recruiting, hiring, upgrading and promotion, conditions and privileges of employment, company sponsored training programs, educational assistance, social and recreational programs, compensation, benefits, transfers, discipline, layoffs and termination of employment to all…