- Design and implement advanced time series forecasting models tailored to specific business needs.
- Utilize statistical methods, machine learning techniques, and deep learning architectures for model development.
- Optimize model performance through feature engineering, hyper parameter tuning, and model selection.
- Develop rigorous testing frameworks to evaluate model accuracy, robustness, and reliability.
- Perform back testing and crossvalidation to assess the generalization capability of the models.
- Develop forecasting models capable of predicting future trends over extended long periods
- Incorporate external factors, seasonal patterns, and macroeconomic indicators into the forecasting models.
- Deploy models into production environments, ensuring scalability and efficiency.
- Implement monitoring mechanisms to track model performance, drift detection, and recalibration as necessary.
- Document methodologies, assumptions, and findings for reproducibility and knowledge Proven experience (3+ years) in developing time series forecasting models, preferably in a commercial or industrial setting.
- Proficiency in Python programming and data manipulation libraries (e.g., Pandas, NumPy).
- Strong understanding of statistical methods ( ARIMA, SARIMA, LSTM, Decomposition etc) , machine learning algorithms, and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with distributed computing frameworks (e.g., Spark) and cloud platforms (e.g., AZURE, Block Storage etc) is desirable.
- Excellent problemsolving skills, analytical thinking, and attention to detail.
- Effective communication skills with the ability to convey complex technical concepts to nontechnical stakeholders.
- Demonstrated ability to work collaboratively in crossfunctional teams and adapt to changing priorities in a fastpaced environment.
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Data Scientist - Mumbai, India - SGS Technical Services Pvt. Ltd
Description
To excel in this role, you'll need proficiency in programming languages such as Python or R, strong statistical and mathematical skills, expertise in time series analysis and forecasting techniques, and effective communication and collaboration skills.
Notice Period:
Immediate to 30 days
Job Type :
C2H
We are seeking a highly skilled Data Scientist specialized in Demand forecasting.
The candidate should have extensive experience in handling large-scale datasets, building robust forecasting models for long-term predictions (1, 3, and 5 years), and proficiency in Python programming.
Model Development:
Validation and Testing:
Long-Term Forecasting:
Model Deployment and Monitoring:
Documentation and Communication: