Data Scientist - BigData

Denken Solutions - Atlanta, GA

Full-time - Mid Level

Atlanta, GA

Professional, Scientific, and Technical Services

About the position

The Data Scientist - BigData role is designed for an experienced professional with advanced data analysis skills and a strong understanding of the scientific method. The position focuses on data wrangling, analysis, and exploration, utilizing machine learning algorithms and big data processing frameworks to enhance decision-making and operational effectiveness within the Client Gas organization. The Data Scientist will be responsible for creating statistical models, managing data, and supporting analysis requests, while also fostering a data-driven culture across the enterprise.

Responsibilities

• Creating, enhancing, and deploying statistical models using machine learning algorithms to inform growth decisions and strategies across Client Gas (30%).
• Developing a framework for Machine Learning/AI, training others on the framework, evaluating and monitoring model performance, and making recommendations on model edits.
• Leveraging quantitative research to relate, compare, model, and map data from different sources, evaluating market conditions and customer data to identify key business opportunities.
• Managing multiple, concurrent projects with competing deadlines.
• Managing data and supporting analysis requests for the Product Sales of Market Strategy (40%).
• Maintaining and managing customer participation data for Product Sales and analyzing sales data to monitor performance.
• Identifying customer trends to determine the potential impact and success of proposed strategies and recommending enhancements to current and proposed offerings.
• Managing large amounts of data and applying data reduction and exploratory analysis techniques appropriately.
• Creating and maintaining quality documentation, metadata, data pull instructions, and data dictionaries for technical and non-technical staff.
• Supporting the organization's access to, understanding of, and engagement with internal and external data sources and systems (30%).
• Working with various technologies (including SQL, R, Python, Excel, SAS, Azure, and Power BI) to design, develop, and distribute business intelligence solutions.
• Performing ETL design and development, identifying key information sources, assessing information quality, and communicating limitations.
• Building reports, data visualizations, and BI solutions, including presentation layer delivery.
• Identifying data anomalies and working with business units to perform root cause analysis and resolve issues.

Requirements

• Bachelor's Degree in Business Analytics, Statistics, Applied Mathematics, MIS, Computer Science, or a related analytical field.
• 3-5 years of professional experience in analytics, marketing, business analysis, and spatial analysis.
• Advanced statistical and predictive modeling experience using both supervised and unsupervised modeling techniques.
• Strong technical competency and programming skills in large-scale data analysis using coding/querying languages including SAS, Python, or R.

Nice-to-haves

• MS/MBA degree, Ph.D., or progress toward Masters/Ph.D. in Business Analytics, Statistics, Applied Mathematics, Computer Science, Machine Learning, or Artificial Intelligence.
• Experience manipulating large datasets and databases with working knowledge of Hadoop or other big data cloud technologies (e.g. Azure or AWS).
• Extensive knowledge of Machine Learning, Artificial Intelligence, and/or production-level model deployment in the cloud.
• Experience in coding, testing, and implementing campaign data initiatives using real-time decision-making marketing technology.
• Experience in Geographic Information Systems (GIS).

Benefits

• Competitive salary
• Opportunities for professional development
• Flexible working hours
• Health insurance coverage
• Paid time off