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Duke Energy Senior Data Science Consultant in Charlotte, North Carolina

More than a career - a chance to make a difference in people's lives.

Build an exciting, rewarding career with us – help us make a difference for millions of people every day. Consider joining the Duke Energy team, where you'll find a friendly work environment, opportunities for growth and development, recognition for your work, and competitive pay and benefits.

This position is responsible for business consulting activities for the Analytics Competency Center within various Duke Energy business units as the primary interface and as a liaison to Information Technology in order to:

  • Serve as an expert in translating complex data into key strategy insights and valuable actions.

  • Discover business narratives told by the data and present them to other scientists, business stakeholders, and managers at various levels.

  • Develop and test heuristics

  • Create and run models

  • Perform data exploration and data mining

  • Create business intelligence, dashboards, visualizations, and/or other advanced analytics reports to adequately tell the business narrative and offer recommendations that are practiced, actionable, and have material impact, in addition to being well-supported by analytical models and data.

Basic/Required Qualifications:

  • Graduation from a four-year college or university with a degree in statistics, physics, mathematics, engineering, computer science, economics, management of information systems or related degree.

  • 5+ years of prior equivalent work related experience in addition to degree

  • Strong understanding of basic/advanced statistical and predictive modeling

  • Excellent data mining skills using programming languages like Python, R, and SQL (Structured Query Language)

  • Possess advanced statistics/machine learning knowledge and implementation skills

  • Previous experience working in Hadoop framework using Spark/PySpark language

Desired Qualifications:

  • Master’s degree in business analytics or an advanced computer programming field, statistics, physics, econometrics, mathematics, engineering, computer science, management of information systems, or related fields

  • Mastery of machine learning techniques

  • Mastery of programming languages like Python, R, and SQL

  • Previous experience building demand planning models

  • Extensive working experience in Hadoop framework using Spark/PySpark language


  • Partner with Business Clients, establish professional relationship, and communicate with analytics clients in order to understand business needs.

  • Frame Problems with Stakeholder, research and construct problem frames in order to understand the analysis context and scope that will provide timely, useful results.

  • Lead Project Teams and participate in multidisciplinary analytics project teams.

  • Interview Subject Matter Experts, plan and conduct individual interviews with experts to gain valid information and data needed for analysis.

  • Elicit Information from Groups, plan and conduct group elicitation sessions with working groups to develop and assess alternatives, uncertainties, and value and risk preferences.

  • Communicate Results to Decision Makers, explain the Results and conclusions of the analytics process in both written and oral presentation formats.

  • Create recommendations that are practiced, actionable, and have material impact, in addition to being well-supported by analytical models and data.

Additional Responsibilities:

  • Identify unique opportunities to collect new data.

  • Design new processes and build large, complex data sets.

  • Strategize new uses for data and its interaction with data design.

  • Locate new data sources, analyze statistics and implement quality procedures.

  • Perform data studies of new and diverse data sources.

  • Find new uses for existing data sources.

  • Conduct statistical modeling and experiment design.

  • Test and validate predictive models.

  • Build web prototypes and performs data visualization.

  • Conduct scalable data research on and off the cloud.

  • Implement automated processes for efficiently producing scale models.

  • Design, modify and build new data processes.

  • Generate algorithms and create computer models.

  • Collaborate with database engineers and other scientists.

  • Implement new or enhanced software designed to access and handle data more efficiently.

Travel Requirements

Not required

Relocation Assistance Provided (as applicable)Yes

Represented/Union PositionNo

Visa Sponsored PositionNo

Posting Expiration Date

Thursday, August 29, 2019

All job postings expire at 12:01 AM on the posting expiration date.

Please note that in order to be considered for this position, you must possess all of the basic/required qualifications.

We are one of the largest electric power holding companies in the United States, supplying and delivering electricity to approximately 7.4 million U.S. customers. We have approximately 52,700 megawatts of electric generating capacity in the Carolinas, the Midwest and Florida – and natural gas distribution services serving more than 1.5 million customers in Ohio, Kentucky, Tennessee and the Carolinas. Our commercial and international businesses own and operate diverse power generation assets in North America and Latin America, including a portfolio of renewable energy assets.

Regardless of your skill set or specific interest, we're looking for the best and brightest talent in the industry. Our people make us great - and we're always looking for more. Find your career path today at Duke Energy, where it's more than a career - it's a chance to make a difference in people's lives.

Duke Energy is an Equal Opportunity Employer and complies with the laws set forth in the Department of Labor EEO Poster and Supplement.