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2 weeks ago
The primary function of a Senior Data Scientist entails the application of advanced statistical and mathematical techniques to extract valuable insights from large datasets. A deep understanding of machine learning algorithms, including simulation model building principles, point forecasting, probabilistic forecasting, and cross-validation are essential for this role.
- Develop and implement data-driven solutions utilizing various machine learning techniques such as GBM, LightGBM, XGBoost, Linear Regression, DeepAR, NBEATS, LSTM, RNN, and Hierarchical Forecasting.
- Utilize programming languages like Python or R to design, develop, and deploy predictive models that meet business requirements.
- Collaborate with stakeholders to identify business needs and develop data-driven recommendations that drive business growth.
Key Requirements:
- Masters or Bachelor in Statistics, Economics, Data Sciences, Engineering, or quantitative related field.
- Minimum of 5-9 years of working experience as a Data Scientist in industry.
- Deep and broad knowledge of Data Science methods and tools.
- Strong programming skills in languages like Python, R, or SQL.
- Excellent communication and interpersonal skills.
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