Hands-On Data Scientist: Time-Series & Sensor AI

Andiamo; Houston (TX); On-site; USD 110,000 - 140,000; Full time

Job summary

Andiamo is seeking a hands-on Data Scientist based in Houston, Texas. The ideal candidate will have strong experience in building and training deep learning models for time-series and sensor data applications, focusing on development, validation, and deployment of models.

Your role will involve collaborating with engineering teams, developing forecasting and anomaly detection systems, and working with large-scale operational telemetry data. Strong qualifications with Python and ML frameworks like PyTorch and TensorFlow are essential.

Qualifications

• Strong hands-on experience training deep learning models.
• Experience with Transformers, LSTMs, and CNNs.
• Experience validating and optimizing models using real-world datasets.

Responsibilities

• Build and train deep learning models for time-series and multi-modal sensor data.
• Develop forecasting, anomaly detection, and predictive maintenance systems.
• Collaborate with domain experts and engineering teams on production AI systems.

Skills

Training deep learning models

Experience with telemetry or sensor data

Experience with anomaly detection

Experience with forecasting systems

Strong Python

Experience with PyTorch

Experience with TensorFlow

Job description

Andiamo is seeking a hands-on Data Scientist based in Houston, Texas. The ideal candidate will have strong experience in building and training deep learning models for time-series and sensor data applications, focusing on development, validation, and deployment of models.

Your role will involve collaborating with engineering teams, developing forecasting and anomaly detection systems, and working with large-scale operational telemetry data. Strong qualifications with Python and ML frameworks like PyTorch and TensorFlow are essential.