Jobs – Senior Research Analyst

As a Senior Research Analyst, you’ll be responsible for designing, developing, and implementing research-grade machine learning and statistical models for time series forecasting, anomaly detection, and pattern recognition

Roles & Responsibilities

1. Design, develop, and implement machine learning models for time series forecasting, anomaly detection, and pattern recognition.
2. Conduct in-depth research on statistical and deep learning approaches for time series analysis.
3. Implement and optimize algorithms for signal processing, feature extraction, and Predictive analytics.
4. Work with large datasets, clean and pre-process data, and perform feature engineering to Improve model performance.
5. Collaborate with cross-functional teams (Data Scientists, Engineers, and Business Analysts) to translate findings into practical business solutions.
6. Stay up-to-date with the latest advancements in machine learning, deep learning, and time Series techniques.

Required Skills & Qualifications

1. 3 to 7 years of experience in Machine Learning, specializing in Time Series Analysis.
2. Strong programming skills in Python (NumPy, Pandas, Scikit-learn,
   TensorFlow/PyTorch).
3. Hands-on experience with time series models (ARIMA, SARIMA, LSTM, Transformer-Based models, etc.).
4. Expertise in statistical modeling, feature engineering, and anomaly detection.
5. Experience with data visualisation tools (Matplotlib, Seaborn, Plotly).
6. Experience with cloud platforms (AWS, Azure, GCP) is desirable.
7. Excellent communication and presentation skills.

Preferred Qualifications

1. Master’s or Ph.D. in Computer Science, Data Science, Statistics, or a related field.
2. Experience in healthcare, wellness, or biomedical signal analysis is a plus.
3. Publications in ML/AI research or experience with open-source contributions.
4. Experience working with real-world industry data in domains like finance, healthcare, or retail.