Position: Data Science/ Machine Learning Engineer
Company: DataArt
Experience required: 3y
English level: upper

**Client**
DataArt's client is a London-based international investor that operates in the private equity market.

**Requirements**
- at least 3+ years of experience in data science or software development
- Familiarity with Jupyter Notebooks and/or Databricks for exploratory data analysis
- Experience with full software development lifecycle, including testing and CI/CD pipelines
- Experience working in a collaborative software development environment, with proficiency in version control systems such as Git
- Familiarity with machine learning principles and model evaluation techniques
- Experience working in cloud environments such as Azure or AWS would be a plus
- Excellent communication and problem-solving skills
- Spoken English

**Responsibilities**
- Collaborate with the Data Science team to develop Python libraries and utilities for model performance monitoring and explainability
- Scaling up model monitoring and analysis infrastructure to support modeling efforts
-Evaluate current and past model performance using appropriate metrics and validation techniques
- Create dashboards for reporting performance metrics and behavior of deployed machine learning models