
Advanced Intelligence Specialist
3 days ago
A seasoned data scientist with expertise in forecasting and simulation model building is sought to join our team at an innovative organization.
Key Responsibilities:
- Develop and implement point forecasting and probabilistic forecasting models using advanced statistical and machine learning techniques.
- Build agent-based simulation models using Anylogic and other simulation software.
- Conduct hierarchical forecasting and use cross-validation techniques such as rolling-window, expanding-window, k-fold, and hold-out.
- Stay up-to-date with the latest developments in MLOps and LLM or GPT technology.
Requirements:
- Master's or Bachelor's degree in Statistics, Economics, Data Sciences, Engineering, or quantitative-related field.
- Minimum 5-9 years of experience as a Data Scientist in industry.
- Expertise in simulation model building principles, machine learning, and best practices.
- Knowledge of statistical forecasting techniques such as ARIMA, THETA, and Exponential Smoothing.
- Experience with ML-based forecasting techniques such as GBM, LightGBM, XGBoost, Linear Regression.
- DL-based forecasting techniques such as DeepAR, NBEATS, LSTM, RNN.
What We Offer:
- A dynamic and challenging role in a forward-thinking organization.
- Opportunities for growth and professional development.
- Collaborative and supportive team environment.
As a senior data scientist, you will play a key role in driving business growth through data-driven decision making. You will be working closely with cross-functional teams to develop and implement predictive modeling solutions that drive business outcomes.
The ideal candidate will have a strong background in statistics, machine learning, and data science, with experience in developing and deploying large-scale predictive models. You should be able to communicate complex technical concepts to both technical and non-technical stakeholders.
We are looking for a motivated and detail-oriented individual who can work independently and collaboratively as part of a team. If you are passionate about data science and want to make a meaningful impact, we encourage you to apply.
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