NRG Careers

MACHINE LEARNING ENGINEER

Date Posted: Nov 26, 2019

Location: Houston, TX, US

Company: NRG

Job Description

NRG is the leading integrated power company in the U.S., built on the strength of our diverse competitive electric generation portfolio and leading retail electricity platform. A Fortune 500 company, NRG creates value through best-in-class operations, reliable and efficient electric generation, and a retail platform serving residential and commercial businesses. Working with electricity customers large and small, we implement sustainable solutions for producing and managing energy, developing smarter energy choices and delivering exceptional service as our retail electricity providers serve almost three million residential and commercial customers throughout the country.

More information is available at www.nrg.com. Connect with NRG Energy on Facebook and follow us on Twitter @nrgenergy.

 

Job Summary: 

At NRG, we apply advanced analytics and modeling to address challenging business problems. Within our Texas mass markets retail business, which includes Reliant Energy, we aim to promote customized offerings: the right product offered through the right channel, with the right message at the right time for each current or prospective customer. To accomplish this, we leverage our data via predictive modeling, statistical analyses, and optimization. If you love data, programming, creative problem solving, and communicating results, you will fit right in.

 

Essential Duties/Responsibilities:

  • Apply machine learning and statistical learning algorithms to optimize marketing efforts with respect to customer acquisition, retention, attrition, and margin enhancement
  • Automate tracking of model performance over time
  • Investigate and incorporate new data sources into models
  • Model customer behavior using structured and textual data
     

Minimum Requirements:

  • 3+ years in predictive modeling and quantitative analysis in industry or full-time academic research.
  • Bachelor’s degree in Statistics, Computer Science, Economics, Engineering, Mathematics, or Operations Research required.
  •  Proficiency with Python, including pandas, scikit-learn, and XGBoost

 

Preferred Experience

  • Advanced Degree (MS or PhD) in a quantitative field is strongly preferred, such as Statistics, Computer Science, Economics, Engineering, Mathematics, or Operations Research.
  • Previous retail electricity market experience preferred
  • Previous marketing experience preferred
  • Experience analyzing weblog data a plus
  • Kaggle competition experience also a plus

 

Additional Knowledge, Skills and Abilities:

  • Familiar with various predictive performance metrics
  • Statistical modeling and analysis skills
  • Strong general programming skills
  • Strong SQL skills / understanding of relational databases
  • Comfortable working in Linux
  • Git for version control
  • Bayesian Statistics a plus
  • Survival modeling a plus
  • Ability to translate complex business issues into achievable analytical learning objectives and actionable analytic projects
  • Good communication skills
  • Keen attention to detail
  • Ability to work as a team member in a fast-paced environment
  • Demonstrated ability to learn and apply new technologies and new analytics models/techniques as needed
  • Think critically about results before deploying models
  • Have you done any interesting analytics projects for fun? We would love to see them!
  •  

Physical Requirements:

  • Close visual acuity to perform activities such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.
  • Occasional overtime work may be required as projects require.
  • Professional, fast paced, high intensity office environment.

 

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NRG Energy is committed to a drug and alcohol free workplace.  To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability
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Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.

Official description on file with Human Resources


Nearest Major Market: Houston