- Search jobs
- College Station, TX
- data scientist
Data scientist Jobs in College Station, TX
Data Scientist (REMOTE)
Matlen SilverTexasLead Data Scientist
ITL USATexas, USGEN AI Data Scientist
Tek NinjasTX, United States- Promoted
Application Scientist
Nulixir Inc.Austin, Texas Metropolitan Area, United States- Promoted
Medical Laboratory Scientist
Catholic Health InitiativesBryan, TX, United States- Promoted
CLINICAL LAB SCIENTIST - TYLER
Christus HealthTX, United StatesStaff Data Scientist
CrunchbaseTexas, United StatesSenior Data Scientist
VERIKAI Verikai Inc.Texas, USASr. Data Scientist - Investment Risk
F1114 Franklin Templeton Companies, LLCTexas, United States of America- Promoted
CLS Traveler Clinical Lab Scientist, MT
AlliedTravelWebCollege Station, TXLab - Scientist
All Medical PersonnelDFW Region, TX, US- Promoted
MEDICAL LAB SCIENTIST (MLS)
UT Health TylerTX, United StatesSenior Data Scientist
ShiptRemote, US TXResearch Scientist
The Texas A&M University SystemCollege Station, Texas- Promoted
Lead Data Scientist / Data Engineer
GridMatrixAustin, Texas Metropolitan Area, United StatesData Scientist (Remote)
Altus Group301, Home Office, TX- Promoted
Medical Laboratory Scientist
UnavailableBryan, TX, United StatesMedical Laboratory Scientist
Baylor Scott White HealthCollege Station, Texas, United StatesResearch Scientist (Level 3)
Lockheed MartinTexasSenior Data Scientist
Texas A&M HealthCollege Station, TXData Scientist (REMOTE)
Matlen SilverTexas- Full-time
- Remote
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