Position: Senior Data Scientist
Company: Occur
Experience required: 5y
English level: fluent

Responsibilities

 - Research, prototype and implement Drift Detection algorithms, time-series anomaly detection, and other ML monitoring algorithms.
 - Tackle new research and ML problems and implement efficient and effective solutions.
 - Take part in customer meetings and help with client on-boarding to fully understand and fulfill their needs.
 - Help design and develop new internal tools to facilitate product development and algorithmic research.
 - Work closely with the founding to help define the technical roadmap.

Requirements

 - Significant experience in AI monitoring
 - 3+ years of previous experience developing production ready Machine Learning models on tabular or time-series data
 - Deep understanding of statistical methods and modern ML algorithms and experience evaluating the suitability of various approaches for a use case
 - Strong experience in Python data stack and ML deployment technologies
 - Software engineering best practices, version control, containerization and testing
 - Exceptional communication skills in English - both oral and written
 - You are extremely proactive, independent and comfortable with proposing new ideas — and holding your ground when you believe you are right
 - You live in or are willing and able to relocate to EU time zones and you are open to travel occasionally

Is a plus

 - Publications, blog, opensource contributions
 - PhD