Data Scientist

Southern Company • Atlanta, GA

1d

About The Position

We are seeking applicants who demonstrate a combination is soft skills and technical skills. Client relationships, collaboration, communication, and effort to learn the business are essential to success. From technical perspective, we are looking for applicants who have experience with machine learning, advanced analytics, coding, cloud and on-premise environments, and a variety of data sources.
This role focuses on supporting various departments across Customer Services, Customer Solutions, Business Development, Corporate Communications, and others. Data Scientist performs advanced and descriptive analytics that lead to better customer experience, increased operational efficiencies, and improved business profitability. This role is responsible for discovering business insights using statistics, machine learning, and visualization techniques.
Apply today and take the next step in your career with Data Science!

Requirements

• 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
• Experience developing dashboards in Power BI or a comparable visualization platform
• 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

Nice To Haves

• A master’s degree in Data Science, Data Analytics, Statistics, Computer Science, Engineering or a related field is preferred
• Experience with Databricks is desired, but not required

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees