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Alabama Power Company · 2 days ago

Data Scientist

Atlanta, GA, United States

Full-time

Onsite

Mid, Senior Level

4+ years exp

Georgia Power is the largest electric subsidiary of Southern Company, committed to delivering clean, safe, reliable, and affordable energy. The Data Scientist role focuses on performing advanced analytics to enhance customer experience and operational efficiency, utilizing machine learning and various data sources.

Electrical DistributionEnergyLogisticsRetail

Comp. & Benefits

Responsibilities

Build relationships with internal clients to understand their goals, processes, and challenges

Promptly respond to requests from internal clients, understand their business questions, and perform analytics to meet their business needs

Fulfil high volume of ad-hoc analytics requests

Proactively suggest advanced analytics solutions to clients

Write programs to pull data from various data sources

Identify, gather, and prepare data for your projects

Analyze structured (quantitative) and unstructured (text, voice recordings) data

Develop and deploy machine learning models

Create dashboards that automatically pull data from various data sources

Summarize key insights from your analytics projects and provide conclusions and recommendations

Produce analytics to enhance customer experience, improve energy affordability, and support sustainable growth

Quantify effect of various programs and initiatives on customer energy usage, call volume, payment behaviors

Provide insights on how our customers interact with our company across various channels in effort to improve customer service performance, optimize channels and programs

Enable personalization and communications based on customer data

Provide analytics to increase enrollment in energy efficiency, renewables, electric transportation, and other programs

Develop analytics to help grow unregulated net income

Provide analytics to optimize operations that deliver regulated and unregulated solutions to customers

Establish external and internal relationships to share best practices in data science, stay abreast of industry trends and emerging technologies

Continuously learn new data sources, new platforms, and new methods

Demonstrate curiosity and creativity in the rapidly evolving world of data and AI

Qualification

Machine LearningData AnalyticsPythonSQLPower BIPredictive ModelingCuriosityCommunication SkillsCollaborationProject Management

Required

A bachelor's degree in Data Science, Data Analytics, Statistics, Computer Science, Engineering or a related field is required

4+ years of hands-on experience with data and analytics; with progressively increased level of responsibility

Experience querying data from various data sources

Proficient with one or more programming languages used for analytics, preferably Python and SQL

Working knowledge of predictive modeling techniques, such as linear regression, decision trees, clustering, neutral networks, etc. and experience using these methods to address real-world business challenges

Strong interest in AI and aptitude to learn how to develop AI solutions for Customer Experience organization

Written communication skills and experience summarizing key insights in concise emails, executive summaries, and presentations

Verbal communication skills and experience effectively presenting analytics insights in practical terms to non-technical business audience

Experience managing and prioritizing multiple projects simultaneously

Ability to effectively collaborate in highly cross-functional work environment, engage diverse stakeholders, ask questions to understand client needs, and partner with colleagues across different teams

Behaviors rooted in our corporate values: Safety First, Intentional Inclusion, Act with Integrity, Superior Performance