5-10 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities.
Working knowledge of Cloud platforms (e.g. AWS, Azure, GCP).
Must-Have Skills: Regression/Classification/Optimization/ Python Proficiency in these key skills is crucial to thriving in this role.
Good communication skills, both verbal and written.
Exhibit a fervour for crafting modular, scalable, and bug-free Python code.
Comfortable in SQL with additional proficiency in office tools like Excel & PowerPoint.
Experience in production engineering best practices (e.g. Git versioning, Docker).
Familiarity or experience with working on large data sets and distributed computing (e.g. Hive, Hadoop, Spark)
Excitement to collaborate with diverse stakeholders across the organisation.
In-depth understanding of various data science approaches, machine learning algorithms, and statistical methods.
Hunger to learn new technologies and embrace the change. Proficiency in foundational concepts and algorithms in machine learning, encompassing regression and classification techniques, and a keen awareness of their assumptions, strengths, and limitations.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full time