Data Scientist (Time Series)

📋 Description

• Design ML/statistical models for anomaly detection on large-scale manufacturing logs.
• Work with high-volume time series and machine logs; meet low-latency production needs.
• Build real-time detection pipelines and post-hoc root-cause workflows.
• Translate domain expertise into scalable prod-ready systems; ensure reliability.
• Continuously evaluate ML/time-series techniques to improve performance.

🎯 Requirements

• 4+ years in Data Science, ML, or related field.
• Hands-on anomaly detection models in manufacturing/industrial environments.
• High-frequency time series data with feature engineering for sequential signals.
• Python & SQL; TensorFlow, PyTorch, or scikit-learn.
• Production deployment, experiment tracking, or CI/CD experience is a plus.
• Strong English communication across teams (B2-C2).

🎁 Benefits

• Ownership through equity participation.
• Annual company retreat.
• Education bonus for continuous learning.
• Paid time off.
• Optional in-person events and meetups.
• High-performance culture.