Responsibilities
- Collect, clean, and analyze large datasets to identify patterns and trends.
- Develop statistical models and machine learning algorithms to generate actionable insights.
- Interpret results and translate data findings into business recommendations.
- Visualize data through dashboards and reports to effectively communicate insights to stakeholders.
Qualifications
- Strong foundation in statistics, mathematics, and computer science.
- Proficiency with programming languages Python or R and database querying using SQL.
- Experience with data analysis and ML frameworks such as Jupyter, scikit-learn, TensorFlow, and PyTorch.
- Familiarity with data visualization tools (Tableau, Power BI) and big‑data platforms (Hadoop, Spark).
- Knowledge of cloud computing services like AWS, Azure, or Google Cloud.
- Excellent problem‑solving, critical thinking, and communication skills.
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