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Senior Optimization Engineer (Big Data)
Information Technology company
Information Technology company
Houston, TX
W-2 onlyUS ResidentContractContract to Permanent416 views
Houston, TX
ContractContract to Permanent
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Your Recruiter
Luda Melanich
Recruiting Team Lead

Responsibilities

The Senior Optimization Engineer is the builder of our optimization engine. This experienced engineer will grow and develop this critical technical component on Energy Platform. They will work across our global power business, suite of portfolio companies, and Energy Platform teams to deliver outsized value.

Qualifications:

  • Advanced degree in Computer Science, Statistics, Information Systems, Data Science, or Engineering
  • 5+ years of hands-on experience engineering data science and/or machine learning applications or services
  • 2+ years of experience working in a large and complex big data environment
  • Familiarity with data ingestion and processing techniques with outputs that are insightful and actionable, to include visualization, data lakes, and data warehouses to develop strategies
  • Strong fundamental knowledge of neural networks, probability theory, stochastic systems, Bayesian inference, predictive modeling, supervised/unsupervised/deep learning
  • Proficiency in two or more of the following languages: Python, Golang, R, SQL, MatLab
  • Hands-on experience developing applications with virtualization and cloud technologies
  • Experience with software frameworks for distributed computing and data such as Microservices, Docker, Pub-Sub messaging (Kafka), Kubernetes

Preferred

  • Experience in the energy management domain, with comfort in energy asset optimization, asset control, and data flow loops, and wholesale electricity market applications
  • Experience with machine learning frameworks such as Scikit- Learn, TensorFlow, Caffe, MXNet
  • Knowledge of natural language processing (NLP), IoT, and edge computing
  • Experience building and operating distributed systems on the cloud
  • Experience working closely with data scientists and appreciation for their unique workflow
  • Ability to create technical drawings, architectural products, and concept graphics rapidly
  • Possesses a sense of urgency, strong organizational and follow upskills
  • Ability to collaborate effectively across global teams and communicate complex ideas in a simple manner+ O365
Skills
Skill Proficiency Years Experience Percent Used
Big Data
1 - 3100%
Data Science
Any100%
Data Warehousing
Any75%
Machine Learning
Any75%
Natural Language
Any75%
Virtualization
Any75%
Docker Containers
Any50%
Kafka
Any50%
SQL
Any50%
Data Lakes
Any25%
Go Language
Any25%
Matlab
Any25%
Microservices
Any25%
Neural Networks
Any25%
Python
Any25%