Job Description
We are seeking a seasoned Data Scientist to lead the development of anomaly detection models.
The ideal candidate will have extensive experience in data science and machine learning, with a proven track record of delivering production-ready solutions.
Required Skills and Qualifications
- Expertise in Anomaly Detection : 5+ years of experience in developing and deploying anomaly detection models using isolation forest, autoencoders, LSTM, and other techniques.
- Strong Proficiency in Python : Proven expertise in Python programming and relevant ML libraries, including pandas, scikit-learn, TensorFlow / PyTorch.
- Time-Series and Log Data : Hands-on experience working with time-series, logs, or transactional datasets to identify patterns and outliers.
- Autonomy and Delivery : Ability to work independently and deliver production-quality solutions.
Benefits
Cloud Experience : Experience with cloud platforms (AWS, GCP, Azure) is a plus.Streaming Data : Familiarity with streaming data or real-time anomaly detection is a plus.Domain Knowledge : Domain knowledge in finance, IoT, cybersecurity, or related fields is a plus.