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Job Description
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL.
- Mine and analyze data from databases to drive optimization and improvement of product development.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Create and maintain optimal data pipeline architecture.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Keep the data separated and secure across national boundaries.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with stakeholders throughout the organization to identify the opportunities, including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Work with data and statistical experts to strive for greater functionality in our data systems.
Skills
- Strong problem-solving skills with an emphasis on product development.
- Experience querying databases using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- 5+ years of experience in a Data Scientist role.
Job Details
Job Location
Riyadh, Saudi Arabia
Job Role
Management
Employment Status
Full time
Employment Type
Employee
Preferred Candidate
Career Level
Mid Career