Looking for a Data Scientist in New Wave Devs

About a project: 

We are in the Insurtech/Healthcare. We are seeking a highly skilled and experienced data scientist to join our fascinating project and team. As a data scientist, you will be responsible for developing and implementing advanced machine-learning techniques for unsupervised fraud and outlier detection on tabular data. Your expertise in ML algorithms and statistical analysis will be crucial in designing and optimizing models to identify patterns and outliers in large datasets.
 

Responsibilities:
— Apply ML algorithms and statistical analysis techniques for unsupervised fraud/outlier detection;
— Develop and implement data preprocessing techniques to clean and transform datasets;
— Collaborate with cross-functional teams to understand business requirements and translate them into actionable insights;
— Conduct in-depth analysis and interpretation of data to uncover hidden patterns and trends.

Requirements:
— Proven experience in ML and unsupervised fraud/outlier detection on tabular data;
— Strong proficiency in programming language in Python;
— Advanced knowledge of ML algorithms, statistical analysis, and data visualization techniques;
— Excellent problem-solving and analytical skills;
— Strong communication and collaboration abilities.

If you are passionate about leveraging data science to detect and prevent fraud and thrive in a collaborative and dynamic environment, we would love to hear from you. This is an exciting opportunity to make a significant impact in the field of fraud detection.