Data Modeling Expert
7 days ago
As a highly skilled and experienced Data Scientist, you will play a key role in driving data-driven decisions through the development of predictive and statistical models.
About the Role
The ideal candidate will have a proven track record of building, deploying, and optimizing complex business solutions using machine learning and AI techniques.
Key Responsibilities- Design and develop advanced time series forecasting and predictive models to solve real-world business challenges.
- Apply machine learning algorithms to extract meaningful insights from large datasets for decision-making.
- Collaborate with cross-functional teams to build and optimize data pipelines and workflows.
- Conduct statistical analysis, hypothesis testing, and model validation to ensure accuracy and reliability.
- Create clear and compelling visualizations and reports to communicate findings.
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- 6+ years of professional experience as a Data Scientist with expertise in Python (NumPy, Pandas, Scikit-learn, Statsmodels).
- Hands-on experience with time series modeling (ARIMA, SARIMA, Prophet, LSTM) and proficiency in forecasting techniques.
- Strong knowledge of SQL and data querying with experience working with cloud platforms (AWS, Azure, or GCP) and MLOps frameworks preferred.
- Excellent problem-solving, communication, and collaboration skills.
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