Senior Data Scientist $4500-7500 Offline

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