Data ScientistKAZ-DS-0109-S1

Sundus Recruitment Services; Abu Dhabi; On-site; AED 200,000 - 300,000; Full time

Job summary

A recruitment agency in the UAE seeks a candidate with expertise in advanced analytics and fraud detection. Responsibilities include analyzing fraud trends, managing detection tools, and conducting machine learning research. A SAS certification is required. Applicants should send their updated CV with the job code JOB CODE KAZDS0109S1 in the subject line.

Qualifications

• Advanced analytics methods expertise to extract value from business data.
• Experience managing fraud detection tools including Fraud Guard EFMS SAS VI SAS VA VRM & FRM.
• Ability to analyze fraud trends and recommend new prevention controls.

Responsibilities

• Use advanced analytics methods to extract value from business data.
• Manage the fraud prevention and detection rules in fraud tools.
• Analyze fraud trends and provide recommendations to management.
• Create dashboards and presentations for senior management.
• Perform large-scale experimentation and build data-driven models.
• Conduct research on machine learning and AI techniques.
• Determine requirements to train and evolve deep learning models.
• Articulate a vision for the exploitation of data.
• Influence teams through data-based recommendations.
• Build analytics tools for actionable insights.
• Support stakeholders with analytics-related technical issues.

Education

SAS Certified Professional

Job description

Responsibilities

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 data-driven models to answer business questions.
6. Conduct research on cuttingedge techniques and tools in machine learning/deep learning/artificial intelligence.
7. Determine requirements that will be used to train and evolve deep learning models and algorithms.
8. Articulate a vision and roadmap for the exploitation of data as a valued corporate asset.
9. Influence FRM teams through presentation of data-based recommendations.
10. Evangelize best practices to analytics and FRM teams.
11. Assemble large complex data sets that meet functional / nonfunctional business requirements.
12. Identify design and implement internal process improvements: automating manual processes optimising 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 Professional

Email 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