Strong educational background in mathematics, statistics, computer science, or a related field.
Proficiency in programming languages such as Python, R, SQL, and SAS.
Knowledge of statistical techniques, machine learning, data mining, and data visualization.
Experience working with big data technologies like Hadoop, Spark, and Hive.
Strong problem-solving and analytical skills, with the ability to handle complex and unstructured data.
Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical stakeholders.
A passion for continuous learning and staying up-to-date with the latest tools and techniques in the field.