Data Scientist

Role & responsibilities

• 4 -8 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities.
• 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)
• Working knowledge of Cloud platforms (e.g. AWS, Azure, GCP).
• 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.
• Must-Have Skills: Regression/Classification/Optimization/ Python Proficiency in these key skills is crucial to thriving in this role.