Posted:19 hours ago|
Platform:
Hybrid
Full Time
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. • 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.
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