Qualifications:
a bachelor's or master's degree in statistics, data science, computer science, or a similar discipline.a track record of success as a data scientist or data science engineer in an official capacity.
adept in using programming languages like R or Python.
strong familiarity with statistical modeling, data visualization methods, and machine learning algorithms.
familiarity with frameworks and tools like scikit-learn, PyTorch, and TensorFlow.
It helps if you are familiar with big data technologies (like Spark and Hadoop).
Strong analytical and problem-solving abilities.
Desired Capabilities:
familiarity with cloud computing systems like Google Cloud, Azure, or Amazon.familiarity with data warehousing, SQL, and database technologies.
Excellent communication abilities and the capacity to explain complicated findings to stakeholders who are not technical as well as those who are.
Capacity to operate both individually and jointly in a dynamic, fast-paced