Energy Data Scientist - Forecasting & ML in Production

Rapinno Tech; Houston (TX); On-site; USD 90,000 - 120,000; Full time

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.