
Highly Skilled Data Analyst
2 days ago
Job Description:
We are looking for a highly skilled and experienced Data Scientist with strong expertise in Python, Time Series Analysis, Forecasting, AI, and Machine Learning.
The ideal candidate will have a proven track record of building, deploying, and optimizing predictive and statistical models to solve complex business problems and drive data-driven decisions.
Key Responsibilities:
- Design, develop, and implement advanced time series forecasting and predictive models.
- Apply machine learning and AI techniques to solve real-world business challenges.
- Analyze large, complex datasets and extract meaningful insights for decision-making.
- Build and optimize data pipelines and workflows using Python and related frameworks.
- Collaborate with cross-functional teams including Product, Engineering, and Business stakeholders.
- Conduct statistical analysis, hypothesis testing, and model validation.
- Create clear and compelling visualizations and reports to communicate findings.
- Stay up to date with the latest trends and advancements in AI, ML, and data science.
Required Skills & Qualifications:
- 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.
- Strong expertise in Python (NumPy, Pandas, Scikit-learn, Statsmodels, PyTorch/TensorFlow).
- Hands-on experience with time series modeling (ARIMA, SARIMA, Prophet, LSTM, etc.).
- Proficiency in forecasting techniques and building production-ready predictive models.
- Solid foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning).
- Familiarity with AI techniques, natural language processing (NLP), and deep learning is a plus.
- Strong knowledge of SQL and data querying.
- Experience with cloud platforms (AWS, Azure, or GCP) and MLOps frameworks preferred.
- Excellent problem-solving, communication, and collaboration skills.
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