Remote Data scientist Jobs in Houston, TX

Description

looking for a Data Scientist to develop and apply models and statistical analysis within our Data and AI group. This individual 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.

Essential Duties / Responsibilities :

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

Minimum Requirements :

Bachelor’s 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

Comfortable working in Linux

Experience with Git

Experience with Docker containers

Good communication skills

Keen attention to details

Think critically about analyses to ensure the conclusions make sense before sharing