{"id":2046450,"url":"https://alion.io/job/american-electric-power-data-scientist","title":"Data Scientist","company":{"id":1755069,"name":"American Electric Power","domain":"aep.com","url":"https://alion.io/company/aep-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":14,"ghost_share":0,"stale_share":0.143,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Shreveport, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":87633,"max":109543,"currency":"USD","period":"year","gross":null,"usd_annual":109543},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Cognos","optional":false},{"name":"Hadoop","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SPSS","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-07T19:46:29Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-14T03:26:12Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Job Posting End Date\n10-17-2026Please note the job posting will close on the day before the posting end date.\nJob Summary\nResponsible 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. Job Description\nJob Posting End Date\n10-17-2026\nPlease note the job posting will close on the day before the posting end date\n***This job posting does not support visa sponsorship or Optional Practical Training (OPT)***\nRelocation for the right candidate.\nWhat You'll Do:\nDevelop 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.\nContinue building and acquiring business knowledge across the organization and utilize knowledge to perform meaningful analyses. Identify and acquire data pertinent to solving business problems.\nDevelop components of predictive and prescriptive systems to optimize operations and support strategic initiatives.\nApply data visualization tools to large data sets to enhance data understanding. Perform research to keep abreast of industry practices.\nUtilize inquiry skills to obtain a clear understanding of business processes and needs.\nWork with stakeholders to determine value that additional information derived from proper analysis could provide.\nCollaborate with technology partners to develop data acquisition and data management practices.\nDevelop concise, meaningful written reports and provide oral presentations. Develop reporting dashboards that meet business needs for status, trends, and variances.\nCollaborate with technology and business units to operationalize meaningful reports and dashboards of industry practices.\nConsult with business unit partners to identify, prioritize, and develop actionable insights, providing analyses across a variety of core business areas. \nMINIMUM REQUIREMENTS:\nEducation: Bachelors degree in mathematics, operations research, statistics, economics, data science, computer science or related technical field is required.\nExperience: 2 years of relevant work experience is required. An equivalent combination of education and related experience may be considered.\nStrong knowledge in SQL Database Management, Power BI, PeopleSoft, Cognos Business Intelligence, and Variance analysis with prior utility company experience.\nOTHER REQUIREMENTS:\nExperience with analytics packages, such as SAS, R, SPSS\nCompensation Data\nCompensation Grade:\nSP20-007Compensation Range:\n$87,633.00 - $109,543.00The 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.\nHear about it first! Get job alerts by email. Log in to your Candidate Home Account today! If you don't have an account, you can create one.\nIt 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 employees and applicants without discrimination because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, veteran or military status, disability, genetic information, or any other basis prohibited by applicable law. 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