External Job Description

We are seeking a talented and experienced Data Scientist to join our dynamic team. The ideal candidate will leverage analytics, statistical modeling, and machine learning techniques to derive actionable insights from complex data sets. You will be primarily involved in applying data mining techniques, will do statistical analysis, and get involved in building high-quality prediction systems integrated with our products. You will be required to develop internal A/B testing procedures, and build a system for the automated current process, should have a working knowledge of building microservices and deployment strategy. Having experience in IOT, and Vehicle CAN data applications is a plus.
 
Responsibilities
•    Proven expertise in data extraction from IoT databases and diverse data sources
•    Data mining using state-of-the-art methods.
•    Selecting features, building, and optimizing classifiers using machine learning techniques
•    Analyze and interpret Real-time data/IOT sensor data to extract valuable insights.
•    Enhancing data collection procedures to include information relevant to building analytic systems.
•    Processing, cleansing, and verifying the integrity of data used for analysis.
•    Conducting Ad-hoc analysis and representing findings in a clear and interpretable manner.
•    Creating automated anomaly detection systems and constant tracking of their performance
•    Build robust models for sensor data analytics using modern machine learning and deep learning techniques and use creative problem-solving techniques.
•    Deploy machine learning models into production environments and ensure their optimization for real-time performance.
•    Monitor and evaluate model performance, making necessary adjustments for continuous improvement.
•    Use Generative AI technology to improve the comprehension and production of sensor data patterns. 
•    Implement and refine methods for generative models that are adapted to the distinctive features of sensor data.

Competencies