
Senior Quantitative Analyst – Statistical Modeling
8 hours ago
We are seeking an experienced Senior Data Scientist to fill a key role within our organization.
The ideal candidate will possess a strong background in data science and experience with machine learning algorithms, statistical modeling, and simulation model building principles.
Azure Anylogic is preferred for this position, but any type of simulation model experience is welcome.
The successful candidate will be responsible for developing and deploying data-driven solutions that drive business value and improve forecasting accuracy.
- Key Responsibilities:
- Data Science Methods and Tools:
- Point Forecasting and Probabilistic Forecasting.
- Statistical Forecasting: ARIMA, THETA, Exponential Smoothing
- ML-based Forecasting: GBM, LightGBM, XGBoost, Linear Regression
- DL-based Forecasting: DeepAR, NBEATS, LSTM, RNN
- Cross-Validation: Rolling-window, Expanding-window, K-fold, Hold-out
- MLOps skills are desirable.
- Experience with Large Language Models or Generative Pre-trained Transformers is an advantage.
This role requires a minimum of 5-9 years of working experience as a Data Scientist in industry. A Master's or Bachelor's degree in Statistics, Economics, Data Sciences, Engineering, or quantitative related field is required.
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