Energy Data Scientist - Forecasting & ML in Production
Rapinno Tech
Houston (TX)
On-site
USD 90,000 - 120,000
Full time
14 days+
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Job summary
A data-focused tech company in Houston is looking for a Data Scientist to join their team. You will apply statistical machine learning models to forecast energy market data. The role involves analyzing energy time series, building predictive models, and collaborating closely with data engineers and scientists. Ideal candidates have a background in oil, gas, or energy, along with proficiency in Python or R, and cloud computing experience. Essential skills include strong communication and problem-solving abilities, with at least 2 years in relevant areas.
Qualifications
2+ years of experience deploying machine learning models in production.
3+ years of experience with supervised and unsupervised machine learning models.
Experience with cloud computing platforms, preferably AWS.
Responsibilities
Analyze energy time series and summarize the statistical properties.
Build predictive models for day-ahead consumption data.
Evaluate and compare model performance against existing models.
Deploy and document research results.
Skills
Proficiency with Python
Proficiency with R
SQL
Statistical analysis
Machine learning
Communication skills
Data analysis
Tools
Pandas
Sklearn
NumPy
AWS
Azure
Spark
TensorFlow
Keras
PyTorch
Job description
A data-focused tech company in Houston is looking for a Data Scientist to join their team. You will apply statistical machine learning models to forecast energy market data. The role involves analyzing energy time series, building predictive models, and collaborating closely with data engineers and scientists. Ideal candidates have a background in oil, gas, or energy, along with proficiency in Python or R, and cloud computing experience. Essential skills include strong communication and problem-solving abilities, with at least 2 years in relevant areas.