Data Analyst

As a hands-on engineer, you will be responsible for developing new features and fixing bugs for an internal machine learning model that identifies errors in vehicle telematics. You will work in an Agile scrum team, focusing on different modules or subsystems of the test framework. **Key Responsibilities:** - Utilize expert knowledge in Python and popular machine learning libraries like TensorFlow, Keras, and scikit-learn. - Apply clustering algorithms (e.g., K-means, hierarchical clustering) for grouping similar data points. - Demonstrate expertise in classification algorithms (e.g., decision trees, support vector machines, random forests) for tasks such as image recognition, natural language processing, and recommendation systems. - Proficiently work with databases, both relational and non-relational like MySQL, including designing database schemas and optimizing queries for efficient data retrieval. - Possess strong knowledge in Object-Oriented Analysis and Design, Multi-threading, Multi-process handling, and Memory management. - Understand model evaluation metrics and techniques. - Deploy machine learning models to production environments. - Collaborate effectively in an Agile scrum team using version control systems like Git. **Qualifications Required:** - Expert knowledge in Python and machine learning libraries like TensorFlow, Keras, and scikit-learn. - Proficient in clustering and classification algorithms. - Experience with databases, relational and non-relational, including schema design and query optimization. - Strong understanding of Object-Oriented Analysis and Design, Multi-threading, Multi-process handling, and Memory management. - Familiarity with model evaluation metrics and techniques. - Experience deploying machine learning models to production. - Proficiency in Agile scrum methodologies and version control systems.,