Data Scientist

Inizio Partners Corp; Houston (TX); On-site; USD 80,000 - 110,000; Full time

Job summary

A project management firm in Houston is seeking a skilled data scientist to work on anomaly detection in plant operations. The ideal candidate will have expertise in machine learning, deep learning, and statistical modeling, with a solid foundation in quantitative fields. Responsibilities include scaling detection models and adding new analytical models. This role requires excellent communication skills and experience in multi-disciplinary teams.

Qualifications

• 3+ years of experience in statistical modeling and quantitative analysis.
• Understanding of business context for model predictions.
• Ability to identify predictive powers and caveats.

Responsibilities

• Work on anomaly detection within plant operations projects.
• Scale anomaly detection models for transformer fault POC.
• Add new models relating to thermal data.

Skills

Machine learning

Deep learning

Communication

Neural networks

Python

Statistical modeling

Data forecasting

Education

Bachelor's degree in a quantitative field

Tools

Keras

TensorFlow

PySpark

Databricks

AWS SageMaker

Google Vertex AI

Job description

This resource will work specifically on anomaly detection within one of our plant operations projects. The purpose of this project is to scale anomaly detection models for the transformer fault POC and add new models relating to thermal data. Other projects as required to require skills in forecasting and linear regression.

• Understanding of machine learning and deep learning models to select and implement for prediction, classification, and clustering
• Understanding of the business context of projects and able to identify areas where models will be less predictive or have caveats to their predictive powers
• Ability to communicate and establish good relations with multi-disciplinary teams
• Expertise with neural networks, specifically RNNs within the Keras/TensorFlow framework.
• Proficiency with Python, including pandas, scikit-learn
• Experience in PySpark
• Bachelors degree in a quantitative field, such as Statistics, Mathematics, Computer Science, Economics, Engineering, or Operations Research required.
• 3+ years of experience in statistical modeling and quantitative analysis in industry or full-time academic research

Preferred Qualifications:

• Advanced Degree (MS or PhD) in Statistics, Mathematics or Quantitative Marketing with a focus on machine learning is strongly preferred.

Additional Knowledge, Skills and Abilities:

• Knowledge of power transformers, experience with electrical engineering.
• Prior experience predictive maintenance in a power or manufacturing environment.
• Experience with Databricks, AWS SageMaker and/or Google Vertex AI