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Data Scientist

2 months ago

Riyadh, Ar Riyāḑ, Saudi Arabia Quant Data & Analytics Full time
Job Title: Data Engineer

Quant Data & Analytics is seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will play a critical role in preparing data for modeling and predictions, including integrations with new data sources, pre-processing operations, and ETL related work.

Key Responsibilities:
  • Design and integrate data entities that meet the requirements of business stakeholders
  • Diagnose data quality issues and collaborate with data source owners to implement preventive or corrective measures
  • Deploy high-performance algorithms, analytics programs, machine learning models, and statistical methods
  • Research opportunities for data acquisition and new uses for existing data
  • Implement pipelines using a combination of technologies, including SQL, Airflow, Python, Alteryx, and cloud data tech stack
  • Integrate new data management technologies and software engineering tools into existing structures
  • Build datasets that create data-driven insight, influence operational decision-making, and enable data-driven products and services
  • Create custom software components and analytics applications
  • Employ a variety of languages and tools to integrate systems
  • Recommend ways to improve data reliability, efficiency, and quality
  • Participate in research and development initiatives to enhance services and products
  • Collaborate with colleagues to build a flexible and scalable platform, both implementation-wise and operationally
  • Contribute to creating and maintaining comprehensive project documentation
Requirements:
  • Bachelor's and/or Master's degree in Computer Science or other suitable majors
  • Preferred certifications: Agile, critical and logical thinking, pragmatic and passionate personality, longevity and devotion to the job, aptitude to work in a diverse environment
  • Preferred skillset: proficient in Microsoft office and Google Suite, capable in programming and/or understanding of programming languages, quantitative and qualitative analytical skills, sensible statistical knowledge, experienced in data visualization, machine learning, and data architecture
  • Programming languages and software knowledge required: Python, Alteryx