Senior Data Scientist
New
F
FactoredData Science / AI
Location: Latin AmericaFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English (B2–C2)
- Experience
- 5+ years
- Required Skills
- PythonSQLMachine LearningPyTorchTensorflowscikit-learn
Requirements
- 5+ years of experience in Data Science, Machine Learning, or a related field.
- Hands-on experience building anomaly detection models, ideally within manufacturing or industrial environments.
- Strong experience working with high-frequency time series data, including feature engineering for sequential signals.
- Proficiency in Python and SQL.
- Experience using ML libraries such as TensorFlow, PyTorch, or scikit-learn.
- Solid understanding of machine learning, statistical modeling, and data analysis techniques.
- Proven ability to work with large-scale datasets under low-latency constraints in production or near-production environments.
- Strong communication skills in English (B2–C2).
Responsibilities
- Design and implement ML and statistical models for anomaly detection on large-scale manufacturing test logs and machine outputs.
- Work with high-volume time series and structured machine log data, meeting low-latency requirements in production environments.
- Build both real-time (live line) detection pipelines and post-hoc failure analysis and root cause analysis workflows.
- Translate domain expertise into scalable, production-ready systems, ensuring reliability, observability, and performance.
- Continuously evaluate and apply emerging techniques in machine learning and time series analysis to improve model performance and robustness.
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