Lead Data Scientist responsible for designing and deploying analytical systems end-to-end. Requires 8-12 years of experience in Big Data, Business Intelligence, Data Warehousing, AI, and Machine Learning. Experience with production-grade solutions for end customers is crucial. Strong programming skills (R, Python, or Java) and familiarity with various data science platforms (RapidMiner, SAS, IBM) are essential. Expertise in machine learning algorithms, statistical inference, and BI tools (Tableau, Oracle, etc.) is required. Experience with NoSQL (MongoDB, Cassandra, Hadoop, Spark), RDBMS (Oracle, SQL Server), and cloud computing frameworks (AWS, Azure) is also needed.