Data Scientist

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

We are looking for a hands‑on Data Scientist with strong experience building and training deep learning models for time‑series and sensor data applications.

This is NOT a reporting, analytics, or pipeline‑only role. We are specifically looking for candidates who have personally trained, fine‑tuned, validated, and deployed machine learning and deep learning models.

What You’ll Work On

• Build and train deep learning models for time‑series and multi‑modal sensor data
• Develop forecasting, anomaly detection, and predictive maintenance systems
• Work with large‑scale operational telemetry data including pressure, temperature, vibration, and sequential sensor streams
• Experiment with and fine‑tune Transformer‑based architectures and modern AI/LLM systems
• Design and evaluate models using frameworks such as PyTorch or TensorFlow
• Collaborate with domain experts and engineering teams on production AI systems

Required Experience

• Strong hands‑on experience training deep learning models (not just integrating APIs or building pipelines)
• Experience building models using:
• Transformers
• LSTMs
• CNNs
• Time‑series forecasting architectures
• Experience working with:
• telemetry or sensor data
• anomaly detection
• forecasting systems
• Strong Python and ML framework experience:
• PyTorch
• TensorFlow
• Experience fine‑tuning or implementing transformer/LLM models
• Experience validating and optimizing models using real‑world datasets

Strong Plus

• Experience training or contributing to foundation‑style models
• Industrial AI, drilling, manufacturing, IoT, robotics, or operational telemetry experience
• Experience with distributed training, GPU optimization, or large‑scale inference systems
• RAG, embeddings, or vector database experience