FHO Data Science Consultant

  • Duke Energy
  • Schwäbisch Hall, Germany
  • 01/08/2019
Full time Data Science Data Engineering Big Data Statistics

Job Description

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.

The data science consultant is responsible for using statistical analysis tools and data science with the Fossil Hydro organization. This position is responsible for business consulting activities for internal business customers 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, train, test, run and refine 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.


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. Work in 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 practical, actionable, and have material impact, in addition to being well-supported by analytical models and data. 
Employees in this role will also:

  • 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.
  • Develop, test, validate and refine predictive models to optimize customer experiences, revenue generation, operational effectiveness, marketing success and other business outcomes.
  • 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
  • Train the data services center team on new or updated procedures

Basic Qualifications:

  • Bachelor’s degree from a four-year college or university with a degree in statistics/analytics, economics, physics, mathematics, engineering, computer science, or management of information systems
  • 3-5 years of experience with statistics, data modeling, reporting and prior equivalent work related experience in addition to a degree

Desired Qualifications

  • Previous experience working in data mining, natural language processing, and data governance
  • Working knowledge of data analytic tools like SAS, SQL (Structured Query Language), R, IBM Cognos, etc.
  • Strong knowledge of basic and advanced regression and prediction models
  • Mastery of statistics, machine learning, algorithms and advanced mathematics
  • Certified Analytics Professional (CAP) from INFORMS, ISM or APICS

Specific Requirements

  • Working knowledge of statistics and predictive modeling.
  • Working knowledge of code writing and programming.
  • Understanding of and ability to use programming languages for predictive analytics modeling, like Python, R or SAS.
  • Understanding of and ability to use scripts like SQL (Structured Query Language) and / or Hive for accessing and wrangling data

Travel Requirements


Relocation Assistance Provided (as applicable)


Represented/Union Position


Visa Sponsored Position