• Firstly, implement and validate predictive models, as well as create and maintain statistical models, focusing on big data while incorporating a variety of statistical and machine learning techniques.
• Furthermore, design and implement various enterprise search applications such as Elasticsearch and Splunk to meet client requirements.
• Additionally, work in an Agile, collaborative environment, partnering with scientists, engineers, consultants, and database administrators from diverse backgrounds and disciplines to apply analytical rigor and statistical methods to behavioral predictions.
• Moreover, build teams or write programs to cleanse and integrate data efficiently and in a reusable manner, subsequently developing predictive or prescriptive models, and evaluating modeling results.
• Also, develop and maintain data pipelines for batch and stream processing using Informatica PowerCenter or cloud ETL/ELT tools.
• Furthermore, liaise with the business team and technical leads to gather requirements, identify data sources, detect data quality issues, design target data structures, develop pipelines and data processing routines, perform unit testing, and support UAT.
• Finally, work closely with data scientists and the business analytics team to assist in data ingestion and resolve data-related technical issues.

Qualifications Required