Data ScientistKAZ-DS-0109-S1

1. Use advanced analytics methods to extract value from business data.2. Manage the fraud prevention and detection rules in all fraud tools including but not limited to Fraud Guard EFMS SAS VI SAS VA VRM & FRM.3. Analyze fraud trends on a periodic basis and provide recommendation to FRM management to implement new fraud prevention & detection controls.4. Create periodic dashboards and presentations for senior management;5. Perform largescale experimentation and build datadriven models to answer business questions6. Conduct research on cuttingedge techniques and tools in machine learning/deep learning/artificial intelligence7. Determine requirements that will be used to train and evolve deep learning models and algorithms8. Articulate a vision and roadmap for the exploitation of data as a valued corporate asset9. Influence FRM teams through presentation of databased recommendations10. Evangelize best practices to analytics and FRM teams11. Assemble large complex data sets that meet functional / nonfunctional business requirements.12. Identify design and implement internal process improvements: automating manual processes optimizing analytics delivery redesigning infrastructure for greater scalability etc.13. Build analytics tools that utilize the data to provide actionable insights into customer acquisition operational efficiency and other key business performance metrics.14. Work with stakeholders including the FRM and FMU teams to assist with analytics related technical issues and support their data infrastructure needs.15. Work with data and analytics experts to strive for greater functionality data systems.16. Ensure that all data science related work meets data security requirements.17. Ensure all process of the analytics section of FRM is documented and maintained as an SOP.18. Maintains relevant documentation to enable peers and other teams to benefit from data science use cases implemented. SAS Certified ProfessionalEmail your CV to Applicants need to send their updated cv mentioning in the Subject line as SUBJECT: Applied Position name Job code (use the job code given in the JD) JOB CODE KAZDS0109S1 Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala Employment Type : Full-Time Experience: years Vacancy: 1