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Qualifications
Required Experience and Knowledge
- 2-3 years of experience in data science, machine learning, or a related field.
- Strong foundation in statistical analysis and machine learning algorithms.
- Proficiency in Python or R for data analysis and modeling.
- Experience with SQL for data manipulation and querying.
- Familiarity with data visualization tools such as Tableau, PowerBI, or Matplotlib.
- Understanding of customer lifecycle management concepts and metrics.
Job-Specific Technical Skills
- Proficiency in Python or R for data analysis and machine learning.
- Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
- Knowledge of SQL for data extraction and manipulation.
- Familiarity with big data technologies like Hadoop or Spark.
- Experience with version control systems (e.g., Git).
- Understanding of data visualization principles and tools.
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