Data Engineer

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DISYS - Digital Intelligence Systems, LLC
machine learning, python, sql, big data
Full Time
Depends on Experience
Work from home available

Job Description

Job Title: Data Engineer

Location: Houston Texas, 77338

Duration: 6 months + high possibility of extension

Job Description:

You will work with a team of data engineers and scientists who use data and apply cutting statistical machine learning models to build forecasting models for different energy markets. The entire Data team works collaboratively and is a strong partner for teams across the company. You will get to meet and learn from diverse and talented colleagues. Specific responsibilities include:

  • Analyze energy time series and summarize the statistical properties of energy signals
  • Build predictive models and forecast signals for day ahead and realtime market
  • Evaluate the performance and compare the results with existing models
  • Deploy the best model and document the result of this research

Business Skills

  • Excellent verbal, written, and interpersonal communication skills
  • Strong understanding of the product development lifecycles
  • Strong understanding of software development, testing and integration methodologies
  • Personal effectiveness/credibility
  • Strong problem solving and analysis skills

Technical Skills

  • Proficiency with Python or R, SQL and familiarity with working in big data environments
  • Experience with:

o Statistical machine learning tools such as Random Forests, Gradient Boosting, or XGBoost.

o Time Series Analysis

o Deep learning

o Model evaluation and hypothesis testing

  • Deploying apps on AWS cloud infrastructure (i.e. Kubernetes, CICD) is a plus


Company Information

Dice Id : 10110693
Position Id : 6934109
Originally Posted : 2 months ago

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