We are seeking a seasoned Data Analytics Expert with 5+ years of experience in developing and deploying anomaly detection models.
The ideal candidate will have deep expertise in techniques such as Isolation Forest, Autoencoders, LSTM, and more. Key responsibilities include :
- Developing robust predictive models to detect outliers in complex, real-world datasets using Python libraries like pandas, scikit-learn, TensorFlow / PyTorch.
- Working with time-series, logs, or transactional data to identify patterns and anomalies.
- Solving challenging data problems independently, delivering actionable insights and recommendations.
Must-have skills include :
5+ years of experience in Data Science / Machine Learning.Proven expertise in anomaly detection and predictive modeling.Strong proficiency in Python and relevant ML libraries.Hands-on experience with time-series, logs, or transactional datasets.Ability to work autonomously and deliver production-quality solutions.Nice-to-have skills include :
Experience with cloud platforms (AWS, GCP, Azure).Familiarity with streaming data or real-time predictive analytics.Domain knowledge in finance, IoT, cybersecurity, or related fields.