Position can be considered for either Atlanta, Georgia or Naperville, Illinois
This position is responsible for collecting, organizing, mining, and deeply analyzing data to draw conclusions and develop insights that enable better decision-making and operational effectiveness of Southern Company Gas business units. Data scientists possess a combination of analytical skills, technical expertise and business acumen in addition to intellectual curiosity that drives their passion to transform raw intelligence into actionable insights that produce desired business outcomes. Going beyond established analytical thinking and problem-solving, the data scientist will apply creativity to unconventional concepts and out-of-the-box solutions. Other skillsets needed in this role include a working knowledge and awareness of mathematical principles and statistics, astute ability to communicate at all levels of the organization, and the ability to monitor industry trends to position Southern Company for future growth and maturity in the data space.
More specifically, this role performs data management and data analysis to track, monitor, and optimize the performance of decision-making and support of marketing initiatives.
JOB REQUIREMENTS: (Education, Experience, Knowledge, Skills)
Education :
Required:
- Bachelor's Degree in Business Analytics, Statistics (Theoretical/Computational), Applied Mathematics, MIS, Computer Science, or a related analytical field.
Preferred:
- MS/MBA degree, Ph.D., or progress toward Masters/Ph.D. in Business Analytics, Statistics (Theoretical/Computational), Applied Mathematics, Computer Science, Machine Learning or Artificial Intelligence.
Experience:
Required:
- 3-5 years of professional experience in analytics, marketing, business analysis, spatial analysis. Advanced statistical and predictive modeling experience using both supervised and unsupervised modeling techniques
Preferred:
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Experience manipulating large datasets and databases with working knowledge of Hadoop or other big data cloud technologies (e.g. Azure or AWS)
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Extensive knowledge doing Machine Learning, Artificial Intelligence, and/or production level model deployment in the cloud
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Experience in coding, testing, and implementing campaign data initiatives using real-time decision-making marketing technology
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Experience in database marketing working with campaign strategies and execution
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Experience in marketing analytics
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Experience in Geographic Information Systems (GIS)
Applicant may possess a combination of equivalent education and work experience.
Specific Skills & Knowledge:
Required:
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Strong technical competency and programming skills in large-scale data analysis using coding/querying languages including at least one of SAS, Python, or R. Others desired to be cognizant of are Spark, T-SQL, and PL-SQL.
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Analysis, design, development, test, troubleshooting and documentation of complex systems including several of the following: predictive models, feature extraction, data-driven analysis, application of machine learning algorithms, text mining, decision support, variable selection and model fit
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Knowledge of data migration and integration across datasets and technology platforms
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Deep analytical capability to debug, monitor, and troubleshoot issues with data solutions
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Effective communication (verbal/written) and leadership skills to foster enterprise influence on data-driven business decision-making
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Ability to transform technical jargon into meaningful business insight at varying levels of the organization
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Comprehensive consulting skills with proven ability to work with and influence others
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Excellent customer service skills and focus on delivery with a positive attitude
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Self-starter with ability to work independently with minimal guidance
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Continuous self-learner with perspective on industry trends in the data space
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Ability to handle multiple assignments and conflicting priorities
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Ability to build productive relationships with a focus on cooperation and teamwork
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Experience with data visualization in Power BI, Tableau, SSRS, or other comparable tools.
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Experience working with large enterprise databases with demonstrated ability to independently query and prepare data for analysis.
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Familiarity with Machine Learning, Artificial Intelligence, and/or production level model deployment.
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Basic HTML knowledge
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Knowledge of front-end tools such as query tools, report writers, data mining, and analysis tools.
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Advanced level of proficiency with Microsoft Excel, Access, Word, and PowerPoint
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Ability to locate and summarize data characteristics
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Experience in translating and documenting business needs to technical requirements
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Strong project management skills
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Ability to prioritize and manage multiple deadlines
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Ability to hold self and others accountable for results
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Ability to prioritize and work multiple concurrent requests from different business teams
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Comfortable within a fast-paced, deadline-driven and changing environment
Preferred:
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Experience working in marketing
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Experience working in GIS
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Knowledge of financial statements
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Knowledge of the utility industry
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Leadership to guide junior-level data scientists
MAJOR JOB RESPONSIBILIES:
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Creating, enhancing, and deploying statistical models using machine learning algorithms to inform growth decisions and strategies across Southern Company Gas.
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Develop a framework for Machine Learning/AI. Train others on the framework. Evaluate and monitor model performance. Make recommendations on model edits and when they are needed.
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Leverages quantitative research; relates, compares, models and maps data from different sources and makes logical assumptions; evaluates market conditions, customer data, internal metrics and competitive landscape to identify key business opportunities; analyzes program results and recommend next steps.
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Manage multiple, concurrent projects with competing deadlines.
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Managing data and supporting analysis request for the Product Sales of Market Strategy
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Maintain and manage the customer participation data for Product Sales.
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Analyze sales data to monitor sales performance.
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Identifies customer trends to determine the potential impact and success of proposed strategies. Recommends enhancements to current and proposed offerings.
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Manages large amounts of data and appropriately applies data reduction and exploratory analysis techniques.
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Creates and maintains quality documentation, metadata, data pull instructions, data dictionaries, etc. for technical and non-technical staff.
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Supporting the organization's access to, understanding of, and engagement with internal and external data sources and systems
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Works with a variety of technologies (including but not limited to SQL, R, Python, Excel, SAS, Azure, and Power BI) to design, develop and distribute business intelligence solutions.
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Performs ETL design and development.
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Identifies key information sources, assesses information quality and understands and communicates limitations.
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Builds reports, data visualizations, and BI solutions, including presentation layer delivery.
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Identifies data anomalies and works with business units to perform root cause analysis and resolves any issues.
Southern Company
30 Ivan Allen Jr Blvd NW
Atlanta
Georgia États-Unis
www.southerncompany.com
