Master's in Data Science, Statistics, Computer Science, Mathematics, or a related field. Advanced academic qualifications are highly desirable.
5-7 years of experience in data science or a related field, preferably within the on-demand services or technology industry.
Expertise in programming languages such as Python, R, or Scala, as well as proficiency with data manipulation and visualization libraries (e.g., pandas, NumPy, matplotlib, seaborn).
Understanding of statistical concepts and techniques, with experience applying them to real-world problems.
Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences.
Experience with solving problems using deep learning (Graph learning, NLP, images, generative AI) is a plus
A passion for learning and innovation, with a desire to stay ahead of the curve in the rapidly evolving field of data science and technology.
