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Job Title: Data Scientist
Location: Houston, TX
Duration: 06+ Months Contract
Note:
Oil, Gas and energy background in Preferred
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 consumption data
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 (2 years minimum)
At least 2+ years of experience of deploying machine learning models and frameworks in production
At least 3 years of experience with:
Experiences in both Supervised and Unsupervised machine learning models (Regressions, Gradient Boosted methods, SVMs, Random Forests, Clustering)
Familiar with python packages such as Pandas, SkLearn, Numpy etc
Deep learning (CNN, RNN, LSTM) and framework library (e.g., Keras, TensorFlow, PyTorch) and Graph Neural Networks
Evaluation and hypothesis testing.
At least 3 years of experience with
Cloud computing platforms such as AWS, Azure (preferably AWS)
Standard concepts and technologies used in CI/CD build and deployment pipelines.
At least 2 years of experience in distributed computing frameworks such as Spark or Pyspark is desirable.
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