
Building Statistical Models
3 days ago
Job Opportunity:
We are seeking an accomplished Data Analyst to lead our predictive modeling initiatives. As a critical member of the organization, you will be responsible for developing and deploying statistical models to drive data-driven decision making.
- Key Responsibilities:
- Design and implement advanced time series forecasting models using Python and related frameworks.
- Apply machine learning techniques to solve real-world business challenges.
- Collaborate with cross-functional teams to extract meaningful insights from large datasets.
- Conduct statistical analysis and model validation to inform business decisions.
- Develop clear and compelling visualizations to communicate findings.
- Stay up-to-date with the latest trends in AI, ML, and data science.
Requirements:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- 6+ years of professional experience as a Data Analyst or Scientist.
- Strong expertise in Python (NumPy, Pandas, Scikit-learn, Statsmodels).
- Hands-on experience with time series modeling (ARIMA, SARIMA, Prophet, LSTM).
- Proficiency in forecasting techniques and building production-ready predictive models.
- Solid foundation in machine learning algorithms.
- Familiarity with AI techniques and deep learning is a plus.
- Strong knowledge of SQL and data querying.
- Experience with cloud platforms and MLOps frameworks preferred.
- Excellent problem-solving, communication, and collaboration skills.
What We Offer:
A dynamic work environment, opportunities for growth and development, and a competitive remuneration package.
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