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indeed

Data Scientist

EPAM Systems
KSA
Onsite
Discovered Yesterday
Data scienceAdvanced data analyticsPythonPlotly DashSQLAlchemyOracle
Free

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Data scienceAdvanced data analyticsPython
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About EPAM Systems

EPAM Systems provides digital platform engineering and software development services globally.

In Saudi Arabia, EPAM operates in Riyadh and Al Khobar and delivers engineering, strategy, design, consulting, and innovation services.

Role Overview

EPAM Systems is seeking a Data Scientist to join its Saudi Arabia team in an onsite working mode.

The role creates and delivers data-driven applications and analytical systems that support strategic decision-making and measurable business impact.

The application submission deadline is 14 December 2026.

Responsibilities

  • Design and implement advanced data analytics solutions for digital transformation initiatives.
  • Develop and maintain multi-page analytical applications using Plotly Dash.
  • Integrate applications with databases using SQLAlchemy and Oracle technologies.
  • Apply coding, version-control, and clean-architecture best practices.
  • Containerize applications and manage deployments using Docker-based workflows.
  • Collaborate with cross-functional teams to improve application interactivity and user experience.
  • Troubleshoot, optimize, and continuously improve data applications.

Requirements

  • At least 5 years of experience in data science or a related field.
  • Expert-level proficiency in Python and the ability to write clean, efficient code.
  • Extensive Plotly Dash experience, including multi-page layouts and callbacks.
  • Strong SQLAlchemy knowledge and hands-on Oracle database integration experience.
  • Good understanding of Docker containerization and deployment processes.
  • Working knowledge of JavaScript for Dash applications and UI interactivity.
  • Academic degree in Computer Science, Software Engineering, or a related field.
  • Valid SCE certificate in an IT-related discipline is required.

Nice to Have

  • Familiarity with cloud environments such as AWS or Azure.
  • Knowledge of advanced machine learning frameworks.
  • Experience with CI/CD pipelines for deployment automation.

Benefits

  • GOSI, private healthcare, life insurance, and end-of-service gratuity are offered.
  • Expatriates may receive an annual air travel allowance.
  • Learning and development opportunities include training, coaching, certifications, and courses.

Working Hours

  • Usual full-time working hours in Saudi Arabia are 9:00 AM to 6:00 PM with a one-hour unpaid lunch break.
  • Working hours may vary based on client requirements, with flexibility accommodated where possible.

Saudi Arabia Locations

  • EPAM has locations in Riyadh and Al Khobar, Saudi Arabia.
  • The role is described as onsite, with the applicable work location determined within Saudi Arabia.

Recruitment Process

  • The process may include a Talent Acquisition conversation, technical interview, hiring manager interview, and client interview.

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