About the Job:
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
The company is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions, and government entities across more than 200 countries and territories. We are dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At the company, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills, and seeing your contributions affect lives globally. Join the company and do work that matters — to you, to your community, and to the world. Progress starts with you.
Location: Riyadh, Riyadh, Saudi Arabia (On-site)
Work Conditions: Full-time, Hybrid
Responsibilities:
- Serve as an analytics expert in designing, developing, and implementing best analytic solutions.
- Create and deliver powerful insights from data through better visualization and storyboarding.
- Collaborate with internal and external partners to fully understand business requirements and desired outcomes.
- Manage multiple medium-to-large analytics projects efficiently in a team environment that includes the Data Science team.
- Draft detailed scope for assigned projects, detailing suggested methodology and analytics plan.
- Execute on the analytics plan using appropriate data mining and analytical techniques.
- Perform quality assurance of data and deliverables for work performed by other Data Scientists and self.
- Ensure all project documentation is current and all projects are reviewed as per the analytics plan.
- Deliver projects within timelines and budget requirements.
- Enhance existing analytics techniques by promoting new methodologies and best practices.
- Provide subject matter expertise and quality assurance for complex data-driven projects.
Qualifications:
- Experience with distributed computing environments/big data platforms (e.g., Hadoop, Elasticsearch) and common database systems (e.g., SQL, Hive, HBase).
- Ability to write custom MapReduce jobs and fluency with Spark frameworks.
- Familiarity with common computing environments (Linux, Shell Scripting) and commonly-used IDEs (e.g., Jupyter Notebooks); proficiency in SAS technologies and techniques.
- Strong programming skills in languages such as Python, R, Scala, Java, Matlab, C++, and SQL.
- Experience in drafting solution architecture frameworks based on APIs and microservices.
- Familiarity with common data modeling approaches and the ability to work with various data types (JSON, XML).
- Ability to build data pipelines using tools like NiFi, Sqoop, Ab Initio; familiarity with data lineage processes.
- Proficient in techniques such as Linear & Logistic Regression, Decision Trees, Random Forests, and Neural Networks.
- Expert knowledge in advanced data mining and statistical modeling techniques, including predictive modeling.
- Strong people/project management skills and experience.
- Ability to travel within the MENA region on short notice.
Language Requirements: (Not specified in the provided text)
The company is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. The company will also consider qualified applicants with criminal histories in accordance with EEOC guidelines and applicable local laws.
