Data Scientist (Time Series)

We are currently looking for an exceptionally talented Senior Data Scientist - Time Series Specialist to join our team and help build cutting-edge solutions at the intersection of manufacturing and advanced analytics. In this role, you will design and deploy scalable ML systems that detect anomalies, uncover root causes, and transform complex manufacturing and test log data into actionable insights that drive product quality and operational efficiency.

Functional 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.

Qualifications:

• 4+ 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, with 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.
• Experience translating models into production systems (e.g., basic ML deployment, experiment tracking, or CI/CD workflows) is a plus.
• Strong communication skills in English (B2–C2), with the ability to clearly explain complex technical concepts and collaborate across teams.