Skills and Qualifications:

Advanced degree (Master’s or Ph.D.) in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Proficiency in programming languages such as Python, R, and SQL.
Strong understanding of statistical analysis, machine learning, and data mining techniques.
Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
Familiarity with big data technologies like Hadoop, Spark, or similar is a plus.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration abilities.
Ability to translate complex data insights into actionable business recommendations.
Preferred Qualifications:

Experience in a specific domain relevant to the company’s industry (e.g., finance, healthcare, marketing).
Knowledge of deep learning frameworks such as TensorFlow or PyTorch.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Strong project management skills.